CD ROM Paradise Collection 4

home *** CD-ROM | disk | FTP | other *** search

/ CD ROM Paradise Collection 4 / CD ROM Paradise Collection 4 1995 Nov.iso / science / normix21.zip / NORMIX21 / ANSWERS / SVIB.PRT < prev

Wrap

Text File | 1995-01-11 | 539KB | 6,035 lines

PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Hierarchical Grouping Number of Groups Rank Item Kmeans Stage ID 1 5 10 15 20 25 30 1 -1 1 0 ACCOUNTANT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 -16 2 104 CPA(44) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 3 -24 3 83 CREDIT MANAGER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 4 -54 4 93 OFFICE WORKER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 5 -17 5 58 CPA(65) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 6 -21 6 92 COMPUTER PROGRAMMER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 7 -11 7 30 BANKER(34) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 8 -12 8 106 BANKER(64) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 9 -18 9 16 CHAM COMM EXEC X X X X X X X X X X X X X X X X . . . . . . . . . . . . . . 10 -55 10 61 OPTOMETRIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 11 -59 11 42 PHARMICIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 12 -33 12 35 FUNERAL DIRECTOR X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 13 -88 13 76 PURCH AGENT X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 14 -3 14 5 AIR FORCE OFFICER X X X X X . . . . . . . . . . . . . . . . . . . . . . . . . 15 -52 15 75 NAVY OFFICER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 16 -76 16 60 PILOT X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 17 -9 17 47 ASTRONAUT X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 18 -77 18 38 POLICEMEN X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 19 -6 19 25 ARMY OFFICER X X X X X X X X X X X X X X X X X X X X X X X X X . . . . . 20 -34 20 81 GENERALS AND ADMIRALS X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 21 -15 21 7 CARPENTER X X X X X X X . . . . . . . . . . . . . . . . . . . . . . . 22 -80 22 53 PRINTER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 23 -19 23 21 CHEMIST X X X X X X X X X X X X X X X X X X X X X . . . . . . . . . 24 -58 24 88 PETROLEUM ENGINEER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 25 -22 25 36 CORP PRES(35) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 26 -57 26 74 PERSONNEL DIRECTOR X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 27 -81 27 87 PRODUCTION MANAGER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 28 -29 28 65 ENGINEER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 29 -23 29 34 CORP PRES(65) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 30 -31 30 11 FARMER(67) X X X X X X X X X X X . . . . . . . . . . . . . . . . . . . 31 -5 31 3 ANTHROPOLOGIST X X X . . . . . . . . . . . . . . . . . . . . . . . . . . . 32 -27 32 57 ECONOMIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 33 -78 33 85 POLITICAL SCIENTIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 34 -38 34 28 JUDGE X X X X X X X X X X X X X X X X X X X X X X X X X X X X . . 35 -39 35 44 LAWYER(27) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 36 -53 36 73 NEWSMEN X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 37 -10 37 18 AUTHORS X X X X X X X X X X X X X X X X X X . . . . . . . . . . . . 38 -87 38 78 PULITZER PRIZE X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 39 -51 39 29 NIAL MEMBER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X . 40 -14 40 13 BUS.ED.TEACHER X X X X X X X X X X X X X . . . . . . . . . . . . . . . . . 41 -42 41 55 LIBRARIAN X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 42 -82 42 24 PSYCHOLOGIST(31) X X X X X X X X X X X X X X X X X X X X X X X X . . . . . . 43 -84 43 112 PSYCHOLOGIST(49) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 44 -85 44 109 PSYCHOLOGIST(EXP) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 45 -83 45 67 PSYCHOLOGIST(47) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 46 -43 46 19 MATHEMATICIAN X X X X X X X X X X X X X X X X X X X . . . . . . . . . . . 47 -74 47 68 PHYSICIST(27) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 48 -75 48 107 PHYSICIST(67) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 49 -35 49 10 GOVERNOR X X X X X X X X X X . . . . . . . . . . . . . . . . . . . . 50 -41 50 46 LEGISLATOR X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X Hierarchical Grouping Number of Groups Rank Item Kmeans Stage ID 1 5 10 15 20 25 30 51 -86 51 43 PUBLIC ADMIN X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 52 -36 52 14 GUIDANCE COUNSELOR X X X X X X X X X X X X X X . . . . . . . . . . . . . . . . 53 -101 53 96 SCHOOL SUPER(30) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 54 -102 54 77 SCHOOL SUPER(65) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 55 -40 55 40 LAWYER(49) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 56 -89 56 70 REHAP COUNSELOR X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 57 -104 57 26 SOCIAL WORKER(53) X X X X X X X X X X X X X X X X X X X X X X X X X X . . . . 58 -105 58 94 SOCIAL WORKER(67) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 59 -106 59 63 SOCIOLOGIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 60 -107 60 100 STUDENT PERSONNEL X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 61 -20 61 6 COMM REC DIRECTOR X X X X X X . . . . . . . . . . . . . . . . . . . . . . . . 62 -28 62 72 ELEM TEACHER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 63 -44 63 48 MATH-SCIENCE TEACHER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 64 -103 64 80 SOC SCI TEACHER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 65 -111 65 23 YMCA PD X X X X X X X X X X X X X X X X X X X X X X X . . . . . . . 66 -113 66 62 YMCA STAFF X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 67 -46 67 12 MINISTER(27) X X X X X X X X X X X X . . . . . . . . . . . . . . . . . . 68 -108 68 86 UNITARIAN MINISTER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 69 -47 69 64 MINISTER(65) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 70 -79 70 98 PRIEST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 71 -112 71 41 YMCA SEC X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 72 -7 72 4 ARCHITECT X X X X . . . . . . . . . . . . . . . . . . . . . . . . . . 73 -8 73 59 ARTIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 74 -37 74 27 INTERIOR DECORATOR X X X X X X X X X X X X X X X X X X X X X X X X X X X . . . 75 -25 75 8 DANFORTH FELLOW X X X X X X X X . . . . . . . . . . . . . . . . . . . . . . 76 -45 76 31 MCKNIGHT FELLOW X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 77 -60 77 52 PHOTOGRAPHER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 78 -48 78 15 MPLS.SYMPHONY X X X X X X X X X X X X X X X . . . . . . . . . . . . . . . 79 -49 79 91 MUSICIAN X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 80 -50 80 45 MUSIC TEACHER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 81 -4 81 2 ANIMAL HUSBANDRY PROF. X X . . . . . . . . . . . . . . . . . . . . . . . . . . . . 82 -109 82 39 VET(49) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 83 -110 83 103 VET(66) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 84 -30 84 17 FARMER(36) X X X X X X X X X X X X X X X X X . . . . . . . . . . . . . 85 -32 85 84 FOREST SERVICE MEN X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 86 -13 86 9 BIOLOGIST X X X X X X X X X . . . . . . . . . . . . . . . . . . . . . 87 -56 87 51 OSTEOPATH X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 88 -63 88 110 PHYSICIAN(49) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 89 -62 89 105 PHYSICIAN(27) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 90 -64 90 66 INTERNIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 91 -67 91 111 PATHOLOGIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 92 -72 92 101 SURGEON X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 93 -70 93 89 PSYCHIATRIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 94 -26 94 20 DENTIST X X X X X X X X X X X X X X X X X X X X . . . . . . . . . . 95 -61 95 37 PHYSICAL THERAPIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 96 -68 96 54 PEDIATRICIAN X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 97 -69 97 99 PHYSIATRIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 98 -71 98 79 RADIOLOGIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 99 -73 99 108 UROLOGIST X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 100 -65 100 49 NEUROLOGICAL SURGEON X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X Hierarchical Grouping Number of Groups Rank Item Kmeans Stage ID 1 5 10 15 20 25 30 101 -66 101 90 ORTHOPEDIC SURGEON X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 102 -2 102 1 ADVERTISING MEN X . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 103 -90 103 33 SALESMEN,AUTO X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 104 -93 104 82 SALESMEN,LIFE(31) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 105 -98 105 102 SALESMEN,REAL ESTATE X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 106 -97 106 71 SALESMEN,PG&E X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 107 -91 107 50 SALESMEN,COMPUTER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 108 -99 108 56 SALESMEN,STEEL X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 109 -100 109 95 SALES MANAGER X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 110 -92 110 22 SALESMEN,ENCYCLOPEDIA X X X X X X X X X X X X X X X X X X X X X X . . . . . . . . 111 -94 111 69 SALESMEN,LIFE(66) X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 112 -95 112 32 SALESMEN,3M X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X 113 -96 113 97 SALESMEN,3M APPLICANTS X X X X X X X X X X X X X X X X X X X X X X X X X X X X X X PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Sample Size = 113 Number of Variables = 22 Number of Types = 13 Iteration Number 0 Log Likelihood of 13 Types in this sample = .00000000 Characteristics of the Whole Sample Means 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 49.3274 47.1416 52.2389 49.6549 52.6460 50.5841 46.8496 52.6726 48.6903 50.6460 52.2389 49.1416 48.4248 54.5575 48.2920 52.6372 49.2212 51.3363 53.9292 53.5575 47.0885 54.4602 Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 4.5163 4.2046 3.7091 6.1006 4.4878 4.2107 4.3298 5.0876 5.4854 3.8349 3.7729 3.3389 5.1453 5.0763 4.3226 5.9572 5.9893 4.7123 5.2810 5.2376 4.3489 4.3620 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .2790 -.1272 .2948 .4196 .1672 .2985 .1229 .3352 .4272 -.0711 -.2854 .0854 .3286 .6488 .2360 .3189 -.0792 .0804 .0267 .4013 -.0678 .2790 1.0000 -.4204 .1261 -.1634 .0363 .4182 .2810 .1458 .4976 -.4568 .5728 .1899 -.1613 .4106 .0589 .2356 -.0462 -.1020 -.3146 .3183 -.5232 -.1272 -.4204 1.0000 -.5032 -.2097 -.3416 -.2546 -.0498 -.4392 -.5260 .7339 .0423 -.5414 -.0151 -.4399 -.0934 -.4358 .0800 .0415 .3362 -.4836 .6310 .2948 .1261 -.5032 1.0000 .5583 .0234 .0114 -.1379 .9348 .5807 -.3740 -.3721 .7896 .4254 .6562 .4957 .8345 -.4697 .4280 -.0707 .4088 -.2242 .4196 -.1634 -.2097 .5583 1.0000 .0419 -.2724 -.0795 .4463 .2647 -.0222 -.4550 .3196 .8749 .4305 .5109 .3621 -.2547 .4799 .3973 .0873 .4043 .1672 .0363 -.3416 .0234 .0419 1.0000 .5975 .1229 -.0186 .1860 -.2143 .0231 .0008 -.1096 -.0099 -.2110 -.1202 .6881 -.3862 .0502 .6138 -.3370 .2985 .4182 -.2546 .0114 -.2724 .5975 1.0000 .3927 .0427 .3752 -.2437 .3253 .1077 -.4049 .2700 -.1493 -.0349 .5681 -.2683 -.1376 .8250 -.5371 .1229 .2810 -.0498 -.1379 -.0795 .1229 .3927 1.0000 -.0319 .0889 .0626 .5357 -.0599 -.0317 .3134 .1213 -.0641 .5051 .1658 .2390 .2369 -.1081 .3352 .1458 -.4392 .9348 .4463 -.0186 .0427 -.0319 1.0000 .5471 -.3385 -.3537 .8026 .3294 .6640 .4613 .8980 -.4657 .3735 -.1086 .3855 -.2958 .4272 .4976 -.5260 .5807 .2647 .1860 .3752 .0889 .5471 1.0000 -.5703 -.0500 .5220 .0851 .6698 .1737 .4507 -.1398 -.0030 -.2717 .5330 -.4357 -.0711 -.4568 .7339 -.3740 -.0222 -.2143 -.2437 .0626 -.3385 -.5703 1.0000 .0107 -.3512 .2019 -.3217 .1547 -.3650 .1408 .2882 .6431 -.3993 .6773 -.2854 .5728 .0423 -.3721 -.4550 .0231 .3253 .5357 -.3537 -.0500 .0107 1.0000 -.0983 -.3346 -.1145 -.0806 -.3821 .4036 -.0717 .0673 .0260 -.1479 .0854 .1899 -.5414 .7896 .3196 .0008 .1077 -.0599 .8026 .5220 -.3512 -.0983 1.0000 .1878 .5304 .4635 .6293 -.3939 .4020 -.0482 .3353 -.3411 .3286 -.1613 -.0151 .4254 .8749 -.1096 -.4049 -.0317 .3294 .0851 .2019 -.3346 .1878 1.0000 .3330 .7061 .3051 -.2701 .6445 .5944 -.1225 .5631 .6488 .4106 -.4399 .6562 .4305 -.0099 .2700 .3134 .6640 .6698 -.3217 -.1145 .5304 .3330 1.0000 .5227 .6436 -.2538 .4308 -.0185 .4477 -.2700 .2360 .0589 -.0934 .4957 .5109 -.2110 -.1493 .1213 .4613 .1737 .1547 -.0806 .4635 .7061 .5227 1.0000 .4137 -.3301 .8695 .5125 -.0032 .2268 .3189 .2356 -.4358 .8345 .3621 -.1202 -.0349 -.0641 .8980 .4507 -.3650 -.3821 .6293 .3051 .6436 .4137 1.0000 -.5457 .3402 -.2085 .2575 -.3281 -.0792 -.0462 .0800 -.4697 -.2547 .6881 .5681 .5051 -.4657 -.1398 .1408 .4036 -.3939 -.2701 -.2538 -.3301 -.5457 1.0000 -.3305 .2757 .3686 -.0230 .0804 -.1020 .0415 .4280 .4799 -.3862 -.2683 .1658 .3735 -.0030 .2882 -.0717 .4020 .6445 .4308 .8695 .3402 -.3305 1.0000 .5671 -.1319 .3602 .0267 -.3146 .3362 -.0707 .3973 .0502 -.1376 .2390 -.1086 -.2717 .6431 .0673 -.0482 .5944 -.0185 .5125 -.2085 .2757 .5671 1.0000 -.1638 .6519 .4013 .3183 -.4836 .4088 .0873 .6138 .8250 .2369 .3855 .5330 -.3993 .0260 .3353 -.1225 .4477 -.0032 .2575 .3686 -.1319 -.1638 1.0000 -.5148 -.0678 -.5232 .6310 -.2242 .4043 -.3370 -.5371 -.1081 -.2958 -.4357 .6773 -.1479 -.3411 .5631 -.2700 .2268 -.3281 -.0230 .3602 .6519 -.5148 1.0000 Within-group Standard Deviations and Correlations Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 3.4827 1.7913 1.8461 3.7276 3.3999 3.5789 3.0691 2.8175 3.4397 2.1287 2.0491 1.5464 3.5753 3.5055 2.6744 3.4896 3.0553 3.4474 3.1259 3.4138 2.8295 2.7574 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .0996 .1514 .1050 .5133 .0845 .2120 .2580 .1506 -.0138 .1441 -.4268 -.1096 .4878 .6119 .3600 .1331 .0028 .2363 .2481 .3272 .2365 .0996 1.0000 -.1290 .1879 -.0176 -.0766 .1940 .0460 .1206 .4608 -.3152 .4636 .1930 .0150 .2801 .1121 .2928 -.1484 -.0505 -.2397 .1113 -.1869 .1514 -.1290 1.0000 -.2071 -.0234 -.2264 -.0602 .0261 -.1773 -.2298 .5527 .2069 -.2884 .0644 -.1307 -.0119 -.3002 -.0025 .1127 .1927 -.1387 .6388 .1050 .1879 -.2071 1.0000 .5076 -.0426 .0735 .0504 .8991 .5371 -.0318 -.1103 .7182 .3917 .5109 .5136 .8063 -.2683 .5450 .2653 .3914 .0227 .5133 -.0176 -.0234 .5076 1.0000 .0184 -.2001 .0586 .4213 .1655 .1130 -.4498 .1648 .8875 .4901 .5387 .3452 -.2136 .4320 .4397 .1456 .4807 .0845 -.0766 -.2264 -.0426 .0184 1.0000 .5996 .0898 -.0584 -.0976 -.0217 .0458 -.0734 .0072 -.1333 -.0485 -.1383 .7982 -.2983 .3370 .5699 -.3143 .2120 .1940 -.0602 .0735 -.2001 .5996 1.0000 .2674 .1200 .1619 -.0033 .1672 .1749 -.3112 .1776 -.0871 .0947 .6383 -.1073 .1164 .8219 -.4090 .2580 .0460 .0261 .0504 .0586 .0898 .2674 1.0000 .2007 .1605 .1511 .0271 -.0168 .0697 .3445 .2528 .2617 .3517 .3647 .2526 .3342 -.0829 .1506 .1206 -.1773 .8991 .4213 -.0584 .1200 .2007 1.0000 .4600 .0109 -.1392 .7806 .3244 .4901 .5185 .8971 -.2296 .5305 .2990 .4411 -.0359 -.0138 .4608 -.2298 .5371 .1655 -.0976 .1619 .1605 .4600 1.0000 -.3243 .0448 .4670 .0683 .5287 .2660 .4754 -.1740 .1622 -.1462 .2397 -.1851 .1441 -.3152 .5527 -.0318 .1130 -.0217 -.0033 .1511 .0109 -.3243 1.0000 .1399 -.0754 .2584 -.0316 .2474 -.0930 .1327 .3583 .6102 .0797 .5301 -.4268 .4636 .2069 -.1103 -.4498 .0458 .1672 .0271 -.1392 .0448 .1399 1.0000 .0839 -.3745 -.3033 -.1856 -.1098 .2193 -.1693 -.0559 -.0372 -.0409 -.1096 .1930 -.2884 .7182 .1648 -.0734 .1749 -.0168 .7806 .4670 -.0754 .0839 1.0000 .0140 .3426 .3269 .7454 -.2660 .3815 .1279 .3046 -.2368 .4878 .0150 .0644 .3917 .8875 .0072 -.3112 .0697 .3244 .0683 .2584 -.3745 .0140 1.0000 .3435 .6253 .2934 -.2012 .4045 .5605 .0180 .5559 .6119 .2801 -.1307 .5109 .4901 -.1333 .1776 .3445 .4901 .5287 -.0316 -.3033 .3426 .3435 1.0000 .5650 .5544 -.2324 .5457 .1079 .3297 .0361 .3600 .1121 -.0119 .5136 .5387 -.0485 -.0871 .2528 .5185 .2660 .2474 -.1856 .3269 .6253 .5650 1.0000 .5826 -.2122 .7443 .5631 .1152 .2079 .1331 .2928 -.3002 .8063 .3452 -.1383 .0947 .2617 .8971 .4754 -.0930 -.1098 .7454 .2934 .5544 .5826 1.0000 -.3181 .5853 .1989 .3273 -.1698 .0028 -.1484 -.0025 -.2683 -.2136 .7982 .6383 .3517 -.2296 -.1740 .1327 .2193 -.2660 -.2012 -.2324 -.2122 -.3181 1.0000 -.2862 .3098 .5547 -.1917 .2363 -.0505 .1127 .5450 .4320 -.2983 -.1073 .3647 .5305 .1622 .3583 -.1693 .3815 .4045 .5457 .7443 .5853 -.2862 1.0000 .4100 .0846 .2253 .2481 -.2397 .1927 .2653 .4397 .3370 .1164 .2526 .2990 -.1462 .6102 -.0559 .1279 .5605 .1079 .5631 .1989 .3098 .4100 1.0000 .2551 .3878 .3272 .1113 -.1387 .3914 .1456 .5699 .8219 .3342 .4411 .2397 .0797 -.0372 .3046 .0180 .3297 .1152 .3273 .5547 .0846 .2551 1.0000 -.2599 .2365 -.1869 .6388 .0227 .4807 -.3143 -.4090 -.0829 -.0359 -.1851 .5301 -.0409 -.2368 .5559 .0361 .2079 -.1698 -.1917 .2253 .3878 -.2599 1.0000 Means Type Lambda 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1 .1150 49.1538 45.4615 49.3077 54.8462 53.1538 51.9231 46.7692 51.4615 54.2308 51.9231 50.4615 47.3077 54.8462 53.0769 49.0769 53.2308 52.0000 49.0000 52.9231 49.3846 48.0000 51.1538 2 .0619 57.5714 51.1429 50.0000 51.4286 55.2857 55.4286 52.5714 51.8571 49.7143 59.8571 49.5714 48.0000 49.0000 55.1429 51.5714 50.8571 48.1429 53.7143 49.1429 52.0000 53.1429 52.4286 3 .0796 48.6667 46.6667 50.2222 51.5556 50.2222 53.3333 50.6667 49.2222 48.3333 50.4444 49.7778 48.0000 47.7778 50.2222 47.6667 48.8889 49.1111 52.3333 50.2222 48.7778 53.6667 50.7778 4 .0088 48.0000 63.0000 45.0000 46.0000 45.0000 45.0000 54.0000 45.0000 47.0000 53.0000 44.0000 53.0000 52.0000 45.0000 48.0000 55.0000 52.0000 42.0000 53.0000 44.0000 50.0000 43.0000 5 .1593 46.0000 43.0556 54.0000 44.0556 52.7222 50.7222 43.8889 49.7222 43.2222 47.3333 53.7778 48.0000 44.7778 54.3889 43.2222 48.6667 43.4444 53.3889 51.7222 55.7222 43.6667 58.4444 6 .1062 47.9167 45.9167 51.0000 53.3333 57.5833 49.6667 44.0000 51.9167 49.8333 51.1667 51.4167 49.2500 51.0833 60.1667 48.9167 56.9167 49.7500 49.7500 59.9167 58.0000 46.2500 57.2500 7 .0531 52.1667 48.1667 51.8333 53.6667 53.5000 49.0000 47.5000 55.6667 52.8333 53.6667 52.3333 49.6667 53.5000 57.3333 56.1667 60.8333 51.5000 50.3333 61.6667 59.0000 47.8333 54.1667 8 .0442 47.8000 46.2000 54.8000 51.0000 54.6000 46.8000 45.4000 53.2000 49.0000 48.0000 56.2000 50.0000 50.0000 63.0000 48.4000 68.6000 49.8000 49.2000 65.4000 59.8000 45.0000 59.8000 9 .0265 46.0000 45.0000 64.0000 42.3333 44.3333 45.3333 44.0000 46.3333 45.0000 47.6667 53.6667 50.3333 42.0000 47.0000 41.6667 45.6667 44.6667 48.0000 48.0000 48.0000 41.3333 54.0000 10 .0531 50.6667 44.6667 58.8333 43.3333 50.5000 47.6667 44.0000 50.5000 43.6667 45.5000 62.6667 48.0000 43.1667 54.1667 44.6667 52.3333 44.6667 50.1667 55.1667 59.0000 41.3333 59.3333 11 .0442 49.6000 60.0000 47.6000 47.8000 48.6000 51.0000 48.4000 57.2000 47.4000 52.0000 48.4000 57.8000 49.6000 50.8000 49.6000 51.0000 49.0000 52.2000 51.4000 49.6000 47.2000 48.6000 12 .1416 48.3125 48.3125 53.3125 44.6250 50.0625 51.5000 50.5000 61.6250 45.3125 49.5625 52.9375 53.1250 44.9375 51.6875 48.3125 49.7500 45.6875 56.7500 51.8750 54.3750 48.2500 53.8125 13 .1062 52.3333 47.7500 50.8333 56.5000 55.0000 49.1667 44.3333 50.0000 55.8333 52.0833 50.1667 44.6667 49.3333 57.0833 51.9167 53.0000 61.6667 46.2500 54.0000 49.5833 46.5833 53.0833 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Iteration 1 Log likelihood of 13 types in this sample = -2689.2293 Iteration 2 Log likelihood of 13 types in this sample = -2689.2280 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Sample Size = 113 Number of Variables = 22 Number of Types = 13 Iteration Number 3 Log Likelihood of 13 Types in this sample = -2689.2280 Characteristics of the Whole Sample Means 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 49.3274 47.1416 52.2389 49.6549 52.6460 50.5841 46.8496 52.6726 48.6903 50.6460 52.2389 49.1416 48.4248 54.5575 48.2920 52.6372 49.2212 51.3363 53.9292 53.5575 47.0885 54.4602 Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 4.5163 4.2046 3.7091 6.1006 4.4878 4.2107 4.3298 5.0876 5.4854 3.8349 3.7729 3.3389 5.1453 5.0763 4.3226 5.9572 5.9893 4.7123 5.2810 5.2376 4.3489 4.3620 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .2790 -.1272 .2948 .4196 .1672 .2985 .1229 .3352 .4272 -.0711 -.2854 .0854 .3286 .6488 .2360 .3189 -.0792 .0804 .0267 .4013 -.0678 .2790 1.0000 -.4204 .1261 -.1634 .0363 .4182 .2810 .1458 .4976 -.4568 .5728 .1899 -.1613 .4106 .0589 .2356 -.0462 -.1020 -.3146 .3183 -.5232 -.1272 -.4204 1.0000 -.5032 -.2097 -.3416 -.2546 -.0498 -.4392 -.5260 .7339 .0423 -.5414 -.0151 -.4399 -.0934 -.4358 .0800 .0415 .3362 -.4836 .6310 .2948 .1261 -.5032 1.0000 .5583 .0234 .0114 -.1379 .9348 .5807 -.3740 -.3721 .7896 .4254 .6562 .4957 .8345 -.4697 .4280 -.0707 .4088 -.2242 .4196 -.1634 -.2097 .5583 1.0000 .0419 -.2724 -.0795 .4463 .2647 -.0222 -.4550 .3196 .8749 .4305 .5109 .3621 -.2547 .4799 .3973 .0873 .4043 .1672 .0363 -.3416 .0234 .0419 1.0000 .5975 .1229 -.0186 .1860 -.2143 .0231 .0008 -.1096 -.0099 -.2110 -.1202 .6881 -.3862 .0502 .6138 -.3370 .2985 .4182 -.2546 .0114 -.2724 .5975 1.0000 .3927 .0427 .3752 -.2437 .3253 .1077 -.4049 .2700 -.1493 -.0349 .5681 -.2683 -.1376 .8250 -.5371 .1229 .2810 -.0498 -.1379 -.0795 .1229 .3927 1.0000 -.0319 .0889 .0626 .5357 -.0599 -.0317 .3134 .1213 -.0641 .5051 .1658 .2390 .2369 -.1081 .3352 .1458 -.4392 .9348 .4463 -.0186 .0427 -.0319 1.0000 .5471 -.3385 -.3537 .8026 .3294 .6640 .4613 .8980 -.4657 .3735 -.1086 .3855 -.2958 .4272 .4976 -.5260 .5807 .2647 .1860 .3752 .0889 .5471 1.0000 -.5703 -.0500 .5220 .0851 .6698 .1737 .4507 -.1398 -.0030 -.2717 .5330 -.4357 -.0711 -.4568 .7339 -.3740 -.0222 -.2143 -.2437 .0626 -.3385 -.5703 1.0000 .0107 -.3512 .2019 -.3217 .1547 -.3650 .1408 .2882 .6431 -.3993 .6773 -.2854 .5728 .0423 -.3721 -.4550 .0231 .3253 .5357 -.3537 -.0500 .0107 1.0000 -.0983 -.3346 -.1145 -.0806 -.3821 .4036 -.0717 .0673 .0260 -.1479 .0854 .1899 -.5414 .7896 .3196 .0008 .1077 -.0599 .8026 .5220 -.3512 -.0983 1.0000 .1878 .5304 .4635 .6293 -.3939 .4020 -.0482 .3353 -.3411 .3286 -.1613 -.0151 .4254 .8749 -.1096 -.4049 -.0317 .3294 .0851 .2019 -.3346 .1878 1.0000 .3330 .7061 .3051 -.2701 .6445 .5944 -.1225 .5631 .6488 .4106 -.4399 .6562 .4305 -.0099 .2700 .3134 .6640 .6698 -.3217 -.1145 .5304 .3330 1.0000 .5227 .6436 -.2538 .4308 -.0185 .4477 -.2700 .2360 .0589 -.0934 .4957 .5109 -.2110 -.1493 .1213 .4613 .1737 .1547 -.0806 .4635 .7061 .5227 1.0000 .4137 -.3301 .8695 .5125 -.0032 .2268 .3189 .2356 -.4358 .8345 .3621 -.1202 -.0349 -.0641 .8980 .4507 -.3650 -.3821 .6293 .3051 .6436 .4137 1.0000 -.5457 .3402 -.2085 .2575 -.3281 -.0792 -.0462 .0800 -.4697 -.2547 .6881 .5681 .5051 -.4657 -.1398 .1408 .4036 -.3939 -.2701 -.2538 -.3301 -.5457 1.0000 -.3305 .2757 .3686 -.0230 .0804 -.1020 .0415 .4280 .4799 -.3862 -.2683 .1658 .3735 -.0030 .2882 -.0717 .4020 .6445 .4308 .8695 .3402 -.3305 1.0000 .5671 -.1319 .3602 .0267 -.3146 .3362 -.0707 .3973 .0502 -.1376 .2390 -.1086 -.2717 .6431 .0673 -.0482 .5944 -.0185 .5125 -.2085 .2757 .5671 1.0000 -.1638 .6519 .4013 .3183 -.4836 .4088 .0873 .6138 .8250 .2369 .3855 .5330 -.3993 .0260 .3353 -.1225 .4477 -.0032 .2575 .3686 -.1319 -.1638 1.0000 -.5148 -.0678 -.5232 .6310 -.2242 .4043 -.3370 -.5371 -.1081 -.2958 -.4357 .6773 -.1479 -.3411 .5631 -.2700 .2268 -.3281 -.0230 .3602 .6519 -.5148 1.0000 Within-group Standard Deviations and Correlations Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 3.4828 1.7907 1.8457 3.7257 3.4001 3.5789 3.0691 2.8176 3.4388 2.1273 2.0486 1.5464 3.5743 3.5061 2.6737 3.4901 3.0540 3.4474 3.1270 3.4142 2.8293 2.7573 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .0997 .1512 .1053 .5134 .0845 .2119 .2580 .1508 -.0138 .1440 -.4266 -.1095 .4879 .6122 .3602 .1333 .0027 .2365 .2482 .3273 .2365 .0997 1.0000 -.1285 .1871 -.0179 -.0766 .1940 .0458 .1200 .4603 -.3148 .4635 .1925 .0147 .2796 .1116 .2922 -.1481 -.0509 -.2398 .1111 -.1867 .1512 -.1285 1.0000 -.2066 -.0232 -.2265 -.0601 .0263 -.1769 -.2292 .5525 .2072 -.2881 .0645 -.1304 -.0118 -.2998 -.0027 .1128 .1927 -.1385 .6387 .1053 .1871 -.2066 1.0000 .5076 -.0426 .0733 .0501 .8991 .5365 -.0311 -.1107 .7180 .3917 .5106 .5135 .8061 -.2682 .5449 .2655 .3912 .0232 .5134 -.0179 -.0232 .5076 1.0000 .0184 -.2002 .0585 .4212 .1651 .1132 -.4498 .1646 .8875 .4901 .5388 .3451 -.2136 .4322 .4398 .1455 .4809 .0845 -.0766 -.2265 -.0426 .0184 1.0000 .5996 .0899 -.0584 -.0975 -.0218 .0458 -.0734 .0072 -.1332 -.0485 -.1383 .7982 -.2983 .3370 .5699 -.3143 .2119 .1940 -.0601 .0733 -.2002 .5996 1.0000 .2674 .1199 .1619 -.0033 .1672 .1748 -.3113 .1775 -.0873 .0946 .6384 -.1075 .1163 .8219 -.4091 .2580 .0458 .0263 .0501 .0585 .0899 .2674 1.0000 .2005 .1603 .1513 .0272 -.0171 .0696 .3444 .2526 .2615 .3519 .3645 .2526 .3341 -.0828 .1508 .1200 -.1769 .8991 .4212 -.0584 .1199 .2005 1.0000 .4596 .0114 -.1394 .7805 .3244 .4899 .5184 .8971 -.2294 .5305 .2991 .4410 -.0356 -.0138 .4603 -.2292 .5365 .1651 -.0975 .1619 .1603 .4596 1.0000 -.3239 .0445 .4666 .0678 .5282 .2654 .4748 -.1737 .1615 -.1463 .2394 -.1848 .1440 -.3148 .5525 -.0311 .1132 -.0218 -.0033 .1513 .0114 -.3239 1.0000 .1402 -.0749 .2586 -.0312 .2477 -.0924 .1325 .3585 .6103 .0799 .5300 -.4266 .4635 .2072 -.1107 -.4498 .0458 .1672 .0272 -.1394 .0445 .1402 1.0000 .0837 -.3745 -.3035 -.1856 -.1101 .2195 -.1692 -.0559 -.0373 -.0408 -.1095 .1925 -.2881 .7180 .1646 -.0734 .1748 -.0171 .7805 .4666 -.0749 .0837 1.0000 .0139 .3423 .3268 .7453 -.2659 .3814 .1281 .3044 -.2365 .4879 .0147 .0645 .3917 .8875 .0072 -.3113 .0696 .3244 .0678 .2586 -.3745 .0139 1.0000 .3435 .6255 .2934 -.2012 .4048 .5606 .0180 .5560 .6122 .2796 -.1304 .5106 .4901 -.1332 .1775 .3444 .4899 .5282 -.0312 -.3035 .3423 .3435 1.0000 .5649 .5541 -.2323 .5455 .1080 .3296 .0364 .3602 .1116 -.0118 .5135 .5388 -.0485 -.0873 .2526 .5184 .2654 .2477 -.1856 .3268 .6255 .5649 1.0000 .5824 -.2122 .7444 .5632 .1151 .2081 .1333 .2922 -.2998 .8061 .3451 -.1383 .0946 .2615 .8971 .4748 -.0924 -.1101 .7453 .2934 .5541 .5824 1.0000 -.3180 .5852 .1991 .3271 -.1695 .0027 -.1481 -.0027 -.2682 -.2136 .7982 .6384 .3519 -.2294 -.1737 .1325 .2195 -.2659 -.2012 -.2323 -.2122 -.3180 1.0000 -.2862 .3097 .5549 -.1919 .2365 -.0509 .1128 .5449 .4322 -.2983 -.1075 .3645 .5305 .1615 .3585 -.1692 .3814 .4048 .5455 .7444 .5852 -.2862 1.0000 .4101 .0845 .2256 .2482 -.2398 .1927 .2655 .4398 .3370 .1163 .2526 .2991 -.1463 .6103 -.0559 .1281 .5606 .1080 .5632 .1991 .3097 .4101 1.0000 .2551 .3879 .3273 .1111 -.1385 .3912 .1455 .5699 .8219 .3341 .4410 .2394 .0799 -.0373 .3044 .0180 .3296 .1151 .3271 .5549 .0845 .2551 1.0000 -.2598 .2365 -.1867 .6387 .0232 .4809 -.3143 -.4091 -.0828 -.0356 -.1848 .5300 -.0408 -.2365 .5560 .0364 .2081 -.1695 -.1919 .2256 .3879 -.2598 1.0000 Means Type Lambda 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1 .1151 49.1537 45.4616 49.3078 54.8465 53.1541 51.9229 46.7692 51.4614 54.2313 51.9231 50.4616 47.3077 54.8469 53.0771 49.0770 53.2310 52.0005 48.9999 52.9234 49.3854 48.0001 51.1541 2 .0619 57.5714 51.1429 50.0000 51.4286 55.2857 55.4286 52.5714 51.8571 49.7143 59.8571 49.5714 48.0000 49.0000 55.1429 51.5714 50.8571 48.1429 53.7143 49.1429 52.0000 53.1429 52.4286 3 .0796 48.6666 46.6668 50.2222 51.5558 50.2222 53.3337 50.6666 49.2222 48.3334 50.4445 49.7776 48.0001 47.7776 50.2222 47.6665 48.8889 49.1112 52.3335 50.2221 48.7778 53.6668 50.7775 4 .0088 48.0000 63.0000 45.0000 46.0000 45.0000 45.0000 54.0000 45.0000 47.0000 53.0000 44.0000 53.0000 52.0000 45.0000 48.0000 55.0000 52.0000 42.0000 53.0000 44.0000 50.0000 43.0000 5 .1594 46.0040 43.0543 54.0001 44.0553 52.7252 50.7215 43.8879 49.7223 43.2227 47.3306 53.7791 48.0000 44.7775 54.3934 43.2237 48.6727 43.4438 53.3877 51.7291 55.7249 43.6667 58.4463 6 .1060 47.9128 45.9227 50.9953 53.3466 57.5855 49.6666 44.0017 51.9196 49.8416 51.1764 51.4111 49.2521 51.0923 60.1679 48.9223 56.9191 49.7595 49.7470 59.9173 57.9983 46.2537 57.2455 7 .0531 52.1676 48.1670 51.8341 53.6645 53.5005 48.9996 47.5011 55.6693 52.8307 53.6659 52.3339 49.6673 53.4968 57.3330 56.1668 60.8327 51.4987 50.3343 61.6670 58.9995 47.8337 54.1671 8 .0442 47.8000 46.2000 54.8000 51.0000 54.6000 46.8000 45.4000 53.2000 49.0000 48.0000 56.2000 50.0000 50.0000 63.0000 48.4000 68.6000 49.8000 49.2000 65.4000 59.8000 45.0000 59.8000 9 .0265 46.0000 45.0000 64.0000 42.3333 44.3333 45.3333 44.0000 46.3333 45.0000 47.6667 53.6667 50.3333 42.0000 47.0000 41.6667 45.6667 44.6667 48.0000 48.0000 48.0000 41.3333 54.0000 10 .0531 50.6667 44.6667 58.8333 43.3333 50.5000 47.6667 44.0000 50.5000 43.6667 45.5000 62.6667 48.0000 43.1667 54.1667 44.6667 52.3333 44.6667 50.1667 55.1667 59.0000 41.3333 59.3333 11 .0442 49.6000 60.0000 47.6000 47.8000 48.6000 51.0000 48.4000 57.2000 47.4000 52.0000 48.4000 57.8000 49.6000 50.8000 49.6000 51.0000 49.0000 52.2000 51.4000 49.6000 47.2000 48.6000 12 .1416 48.3119 48.3122 53.3125 44.6244 50.0621 51.5002 50.4998 61.6247 45.3120 49.5619 52.9375 53.1250 44.9370 51.6872 48.3113 49.7487 45.6870 56.7502 51.8740 54.3747 48.2498 53.8126 13 .1062 52.3333 47.7500 50.8333 56.5000 55.0000 49.1667 44.3333 50.0000 55.8333 52.0833 50.1667 44.6667 49.3333 57.0833 51.9167 53.0000 61.6667 46.2500 54.0000 49.5833 46.5833 53.0833 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Functions 1 2 3 4 5 6 7 8 9 10 11 12 Variable 1 -.1149 .2475 .0851 .1682 .0388 -.0749 -.0960 .0667 -.0096 -.1148 .2613 .0053 Variable 2 -.1029 .4450 -.5054 .2942 -.4466 .3833 .1448 -.2790 -.1437 .1700 -.1729 .2304 Variable 3 -.2703 -.3738 -.1757 -.2295 .3951 .2581 .2902 .4159 -.0747 -.0363 .1116 .0865 Variable 4 -.1970 -.2040 -.0593 -.0568 -.0770 -.3166 .0759 -.1288 .0457 .2061 .4085 .0374 Variable 5 -.2526 .1759 -.3679 .1107 .2178 -.1275 .0640 -.2414 -.0895 -.2320 -.0588 -.3383 Variable 6 -.0431 .1737 .0790 .0409 -.0650 -.0577 -.0950 .0142 -.0950 .0619 .0987 -.0966 Variable 7 .1586 -.3113 -.1986 .1002 -.2647 -.1587 -.1003 -.0313 .3349 -.2818 -.3391 -.3191 Variable 8 .1382 -.0857 -.1831 -.0600 -.0257 -.3475 -.0715 -.1453 .1150 .0252 .0467 -.0912 Variable 9 .4200 .1408 -.4010 .2313 -.3274 .1154 -.0874 .4652 -.2587 -.1748 -.4647 -.0694 Variable 10 -.1340 .4233 .2496 .3738 .2870 .0754 -.2298 .2178 .2335 -.2172 .0983 -.1308 Variable 11 -.4818 .0321 -.5698 .3778 -.3257 -.1954 -.0324 -.1601 .1697 .1961 .2059 -.0504 Variable 12 .6092 .0363 .2435 -.5629 .4345 -.0781 -.0982 .2601 -.0293 -.3227 .4529 -.2650 Variable 13 .0677 -.1994 .0585 .1448 -.1042 -.1060 -.0524 -.0268 -.1267 .0406 .0381 .2139 Variable 14 .4072 -.4875 .2517 -.2315 -.1646 .1357 -.1455 .3443 .1437 -.0716 .1003 .1982 Variable 15 .1793 -.2765 -.0674 -.4467 .0001 .1629 -.1335 .2899 -.1094 .4825 -.2302 .2154 Variable 16 -.0246 -.1827 -.1066 .1132 -.2235 -.2503 .3185 -.0647 .1537 -.1248 -.0433 .1286 Variable 17 -.8442 .0662 .2740 -.4322 .2181 .1158 -.1262 -.2893 .2092 -.1708 .1366 -.0398 Variable 18 -.3136 -.2196 -.1620 .0876 -.2011 .1246 -.1706 .0495 -.1011 -.1102 .0001 .5227 Variable 19 .2424 .1964 .2994 .1537 -.0371 .3966 -.1307 .0353 -.1188 -.0473 .0518 -.1800 Variable 20 .1289 .2453 .0960 -.0658 .3811 .3091 -.0551 -.0186 -.0527 .2249 -.1192 -.1707 Variable 21 .2369 .2856 .5691 -.2600 .4717 .0631 .4906 -.1314 .0538 .2761 .1703 .0949 Variable 22 -.0006 .1186 .3110 .1176 -.2112 -.1488 -.1905 -.3806 .1031 -.0494 -.1555 .1829 Eigenvalues of B/W= 18.5142 7.7439 6.1398 4.5247 3.6665 3.2670 2.4436 2.2112 1.1557 .8922 Eigenvalues of B/W= .4461 .2684 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 1 ACCOUNTANT 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 2 ADVERTISING MEN 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 3 AIR FORCE OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 4 ANIMAL HUSBANDRY PROF. 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 5 ANTHROPOLOGIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 6 ARMY OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 7 ARCHITECT 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 8 ARTIST 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 9 ASTRONAUT 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 10 AUTHORS 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 11 BANKER(34) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 12 BANKER(64) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 13 BIOLOGIST 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 14 BUS.ED.TEACHER 5 .001 .000 .000 .000 .998 .001 .000 .000 .000 .000 .000 .000 .000 15 CARPENTER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 16 CPA(44) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 17 CPA(65) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 18 CHAM COMM EXEC 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 19 CHEMIST 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 20 COMM REC DIRECTOR 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 21 COMPUTER PROGRAMMER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 22 CORP PRES(35) 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 23 CORP PRES(65) 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 24 CREDIT MANAGER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 25 DANFORTH FELLOW 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 26 DENTIST 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 27 ECONOMIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 28 ELEM TEACHER 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 29 ENGINEER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 30 FARMER(36) 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 31 FARMER(67) 4 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 32 FOREST SERVICE MEN 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 33 FUNERAL DIRECTOR 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 34 GENERALS AND ADMIRALS 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 35 GOVERNOR 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 36 GUIDANCE COUNSELOR 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 37 INTERIOR DECORATOR 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 38 JUDGE 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 39 LAWYER(27) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 40 LAWYER(49) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 41 LEGISLATOR 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 42 LIBRARIAN 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 43 MATHEMATICIAN 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 44 MATH-SCIENCE TEACHER 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 45 MCKNIGHT FELLOW 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 46 MINISTER(27) 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 47 MINISTER(65) 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 48 MPLS.SYMPHONY 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 49 MUSICIAN 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 50 MUSIC TEACHER 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 51 NIAL MEMBER 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 52 NAVY OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 53 NEWSMEN 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 54 OFFICE WORKER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 55 OPTOMETRIST 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 56 OSTEOPATH 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 57 PERSONNEL DIRECTOR 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 58 PETROLEUM ENGINEER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 59 PHARMICIST 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 60 PHOTOGRAPHER 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 61 PHYSICAL THERAPIST 12 .000 .000 .000 .000 .000 .000 .002 .000 .000 .000 .000 .998 .000 62 PHYSICIAN(27) 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 63 PHYSICIAN(49) 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 64 INTERNIST 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 65 NEUROLOGICAL SURGEON 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 66 ORTHOPEDIC SURGEON 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 67 PATHOLOGIST 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 68 PEDIATRICIAN 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 69 PHYSIATRIST 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 70 PSYCHIATRIST 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 71 RADIOLOGIST 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 72 SURGEON 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 73 UROLOGIST 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 74 PHYSICIST(27) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 75 PHYSICIST(67) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 76 PILOT 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 77 POLICEMEN 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 78 POLITICAL SCIENTIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 79 PRIEST 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 80 PRINTER 3 .000 .000 .999 .000 .001 .000 .000 .000 .000 .000 .000 .000 .000 81 PRODUCTION MANAGER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 82 PSYCHOLOGIST(31) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 83 PSYCHOLOGIST(47) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 84 PSYCHOLOGIST(49) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 85 PSYCHOLOGIST(EXP) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 86 PUBLIC ADMIN 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 87 PULITZER PRIZE 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 88 PURCH AGENT 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 89 REHAP COUNSELOR 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 90 SALESMEN,AUTO 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 91 SALESMEN,COMPUTER 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 92 SALESMEN,ENCYCLOPEDIA 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 93 SALESMEN,LIFE(31) 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 94 SALESMEN,LIFE(66) 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 95 SALESMEN,3M 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 96 SALESMEN,3M APPLICANTS 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 97 SALESMEN,PG&E 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 98 SALESMEN,REAL ESTATE 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 99 SALESMEN,STEEL 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 100 SALES MANAGER 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 101 SCHOOL SUPER(30) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 102 SCHOOL SUPER(65) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 103 SOC SCI TEACHER 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 104 SOCIAL WORKER(53) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 105 SOCIAL WORKER(67) 6 .000 .000 .000 .000 .000 .999 .001 .000 .000 .000 .000 .000 .000 106 SOCIOLOGIST 6 .000 .000 .000 .000 .019 .981 .000 .000 .000 .000 .000 .000 .000 107 STUDENT PERSONNEL 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 108 UNITARIAN MINISTER 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 109 VET(49) 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 110 VET(66) 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 111 YMCA PD 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 112 YMCA SEC 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 113 YMCA STAFF 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 1 ACCOUNTANT 1 -.73 -1.56 .33 1.55 -1.18 -4.24 .68 1.73 2 ADVERTISING MEN 13 -8.85 -.81 -.06 -.27 .25 .90 -.98 1.07 3 AIR FORCE OFFICER 2 -2.13 4.65 3.71 3.69 1.12 -1.01 -1.12 1.60 4 ANIMAL HUSBANDRY PROF. 11 7.97 4.50 -3.81 -2.83 -2.18 2.62 -.89 -.34 5 ANTHROPOLOGIST 5 -.98 .13 -1.38 1.45 3.43 2.42 -.06 -2.29 6 ARMY OFFICER 2 .31 8.35 .74 5.42 1.41 -1.23 -1.36 1.11 7 ARCHITECT 9 -4.41 -2.90 -2.46 -1.31 5.88 2.45 4.61 5.46 8 ARTIST 9 -4.32 -2.44 -5.06 -1.81 4.29 3.48 3.20 2.75 9 ASTRONAUT 2 -.22 6.69 .71 3.13 1.13 -.58 -1.06 2.95 10 AUTHORS 5 -1.25 -1.15 2.07 .74 1.59 .11 -.48 -1.73 11 BANKER(34) 1 -.44 -.82 -.32 1.25 -3.70 -3.56 1.36 -1.69 12 BANKER(64) 1 -.37 -.76 .21 2.84 -3.98 -3.44 1.17 .11 13 BIOLOGIST 12 3.27 .23 -4.44 -.24 .96 -.05 -1.16 -.90 14 BUS.ED.TEACHER 5 -1.07 -.15 1.46 .32 -.32 .93 -1.25 .97 15 CARPENTER 3 .52 1.98 2.44 -1.01 2.09 .13 5.00 .01 16 CPA(44) 1 .81 1.97 -.19 2.58 -1.54 -3.12 -.37 .86 17 CPA(65) 1 .59 -.44 1.03 1.27 -1.50 -4.45 -.33 1.94 18 CHAM COMM EXEC 1 -1.78 -1.35 1.08 1.32 -2.62 -2.71 .13 .89 19 CHEMIST 3 .54 1.74 2.11 -1.71 2.62 -1.65 1.86 -1.43 20 COMM REC DIRECTOR 7 6.53 -.41 .37 -1.76 -.92 1.98 -1.10 4.29 21 COMPUTER PROGRAMMER 1 -.39 -.91 -1.18 1.48 -.99 -2.67 .63 .80 22 CORP PRES(35) 3 -3.25 .90 2.97 -2.84 1.34 -1.23 4.23 -1.39 23 CORP PRES(65) 3 -1.63 1.27 2.24 -3.41 -.04 -1.11 2.83 -2.76 24 CREDIT MANAGER 1 -.91 -.76 -1.11 .75 -2.84 -3.27 -.75 1.23 25 DANFORTH FELLOW 10 -3.38 -3.64 -3.11 4.82 -2.69 1.91 -1.33 -2.49 26 DENTIST 12 3.54 -2.75 -3.93 -4.14 2.56 -2.78 .22 1.78 27 ECONOMIST 5 -1.75 -2.17 .45 2.40 1.19 -.45 .65 -1.08 28 ELEM TEACHER 7 3.53 -.38 -.22 .68 -.21 2.85 -2.05 3.25 29 ENGINEER 3 -2.04 1.65 3.01 .40 2.46 -1.48 3.92 -.05 30 FARMER(36) 11 5.37 6.72 -3.17 -1.75 -2.73 2.72 1.24 -.38 31 FARMER(67) 4 4.80 9.71 -.64 1.11 -3.78 5.00 6.91 -3.11 32 FOREST SERVICE MEN 11 4.93 5.58 -3.66 -1.59 -2.65 .64 -.38 -.46 33 FUNERAL DIRECTOR 1 -.42 -.53 -.64 .00 -3.93 -2.48 2.34 2.27 34 GENERALS AND ADMIRALS 2 1.25 6.33 .90 4.19 2.77 1.10 -1.69 3.47 35 GOVERNOR 6 3.46 -.17 3.40 .31 -1.24 1.31 -3.33 .12 36 GUIDANCE COUNSELOR 6 3.98 -1.24 3.97 -1.63 .52 2.01 -1.48 .32 37 INTERIOR DECORATOR 9 -4.47 -3.78 -3.80 -.03 3.41 2.44 4.21 6.63 38 JUDGE 5 -.21 -2.42 .49 1.46 2.23 -.49 -1.24 -1.13 39 LAWYER(27) 5 -.34 .47 1.63 2.10 .97 -.16 -2.21 -.36 40 LAWYER(49) 6 3.66 1.09 4.69 -.19 1.31 .14 -.21 -1.36 41 LEGISLATOR 6 1.35 1.31 5.11 -1.20 -.53 1.71 -1.03 -.35 42 LIBRARIAN 5 .61 -2.28 .37 4.07 .43 -.05 .11 -1.67 43 MATHEMATICIAN 5 -.95 -.36 1.16 2.66 1.45 1.16 .16 -1.72 44 MATH-SCIENCE TEACHER 7 4.21 -1.55 1.08 -1.23 .28 .36 -1.84 2.56 45 MCKNIGHT FELLOW 10 -5.89 -2.38 -7.68 4.12 .13 2.51 .36 .01 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 46 MINISTER(27) 8 5.70 -6.68 .90 .97 -5.32 1.23 2.07 -.97 47 MINISTER(65) 8 4.11 -6.08 3.04 2.20 -4.08 1.54 1.53 .08 48 MPLS.SYMPHONY 10 -3.54 -2.10 -6.36 3.13 .39 .88 1.17 -.62 49 MUSICIAN 10 -6.36 -1.10 -6.97 3.25 -1.17 .89 .72 -1.14 50 MUSIC TEACHER 10 -5.26 -1.08 -4.95 5.51 -2.01 2.11 -.56 -1.37 51 NIAL MEMBER 5 -1.74 -2.14 -.76 1.32 2.35 1.94 .79 -2.39 52 NAVY OFFICER 2 -.32 4.63 1.38 3.82 1.04 -2.37 -.05 .63 53 NEWSMEN 5 -1.75 -.77 .03 2.62 -.20 .31 -2.10 -1.07 54 OFFICE WORKER 1 -3.71 -.39 -.72 2.12 -2.10 -3.99 .05 1.58 55 OPTOMETRIST 1 .82 -1.19 -.94 1.33 -.72 -3.53 -1.42 1.18 56 OSTEOPATH 12 4.27 -.14 -2.89 -2.20 .17 -1.82 -1.48 1.28 57 PERSONNEL DIRECTOR 3 -.42 .25 2.43 -1.38 3.01 -1.75 2.68 -.08 58 PETROLEUM ENGINEER 3 -.06 3.30 2.63 -.83 .29 -2.18 2.68 -.47 59 PHARMICIST 1 -1.24 -.57 -2.26 -.86 -2.67 -4.55 -2.62 .62 60 PHOTOGRAPHER 10 -5.40 .79 -3.57 3.22 .93 2.43 .85 -1.15 61 PHYSICAL THERAPIST 12 5.26 -.44 -2.36 -2.62 .11 .70 -.97 1.84 62 PHYSICIAN(27) 12 3.29 -.14 -2.19 -1.99 2.71 -.80 -1.06 .70 63 PHYSICIAN(49) 12 3.21 -.45 -2.42 -1.60 1.37 -2.28 -.99 -.34 64 INTERNIST 12 3.52 -1.25 -1.52 -1.87 1.68 -.55 -2.39 -1.23 65 NEUROLOGICAL SURGEON 12 3.52 -.96 -1.24 -3.62 2.87 -1.03 .08 -1.71 66 ORTHOPEDIC SURGEON 12 4.57 .33 -3.17 -3.58 2.17 -.44 .93 .48 67 PATHOLOGIST 12 3.04 -1.09 -2.32 -1.40 2.77 -1.17 -1.23 -1.02 68 PEDIATRICIAN 12 4.13 -1.90 -3.26 -1.80 .09 -1.61 -1.04 -2.05 69 PHYSIATRIST 12 2.99 -2.05 -3.59 -1.36 .52 -1.50 -.73 -.51 70 PSYCHIATRIST 12 2.57 -.58 -.98 -1.33 2.85 -.83 -2.28 -1.35 71 RADIOLOGIST 12 4.46 -.88 -3.51 -2.59 -.09 -3.46 .40 -2.07 72 SURGEON 12 3.97 .15 -3.13 -3.20 1.90 -1.80 -.96 -1.08 73 UROLOGIST 12 4.88 -1.30 -3.77 -3.16 .12 -2.35 -.37 .31 74 PHYSICIST(27) 5 -1.03 -1.49 .47 1.99 1.36 .96 1.68 -1.00 75 PHYSICIST(67) 5 -1.24 -2.05 .19 1.50 .68 .30 -.53 -.97 76 PILOT 2 -1.01 8.20 -.23 3.29 .13 .20 .76 .26 77 POLICEMEN 2 .36 5.95 1.35 3.85 1.89 -.08 -1.49 2.41 78 POLITICAL SCIENTIST 5 -.40 -2.08 3.07 3.14 2.39 1.19 -.21 -2.84 79 PRIEST 8 3.49 -5.11 .49 2.67 -3.11 .63 2.08 .53 80 PRINTER 3 .84 -.45 2.90 .20 .12 -1.81 2.14 -1.13 81 PRODUCTION MANAGER 3 -.96 1.14 4.25 -2.07 2.25 -2.91 4.76 -1.15 82 PSYCHOLOGIST(31) 5 -.47 -1.41 -.53 .53 3.00 -.67 -2.15 -1.00 83 PSYCHOLOGIST(47) 5 -.05 -1.58 1.23 .85 1.53 .29 -2.62 -2.19 84 PSYCHOLOGIST(49) 5 1.10 -1.17 .85 .23 1.78 -.28 -.54 -2.83 85 PSYCHOLOGIST(EXP) 5 .12 -.95 -.94 1.80 2.11 -1.41 -1.41 -2.42 86 PUBLIC ADMIN 6 4.03 1.16 2.28 .69 .67 -1.24 .72 .55 87 PULITZER PRIZE 5 -1.65 -3.89 .19 .44 2.93 1.06 -.25 -1.62 88 PURCH AGENT 1 -1.70 -1.08 .52 .34 -2.26 -3.80 2.08 2.47 89 REHAP COUNSELOR 6 3.39 .22 4.99 .09 1.74 1.03 -.87 -.18 90 SALESMEN,AUTO 13 -11.21 1.10 .26 -2.70 -1.53 -.68 -1.39 .52 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 91 SALESMEN,COMPUTER 13 -10.85 2.63 1.56 -2.44 -.83 -1.08 -1.92 -1.06 92 SALESMEN,ENCYCLOPEDIA 13 -8.50 1.24 .99 -3.07 -2.71 4.15 -.84 -.49 93 SALESMEN,LIFE(31) 13 -8.89 .16 1.39 -4.41 -1.36 1.77 -1.46 -1.05 94 SALESMEN,LIFE(66) 13 -9.38 1.26 -1.04 -3.60 -2.01 2.40 -1.70 -1.25 95 SALESMEN,3M 13 -10.34 -.17 1.47 -2.77 -2.07 1.95 -1.65 1.95 96 SALESMEN,3M APPLICANTS 13 -11.95 .24 .90 -3.12 -1.52 .97 -2.13 .62 97 SALESMEN,PG&E 13 -9.35 1.58 1.05 -3.57 -.58 1.29 -.96 -.10 98 SALESMEN,REAL ESTATE 13 -8.30 1.61 .39 -2.70 -1.21 -.22 -.49 -.66 99 SALESMEN,STEEL 13 -7.25 1.93 2.23 -2.95 -1.71 -.47 .26 .42 100 SALES MANAGER 13 -7.84 .05 2.27 -3.90 -1.67 -1.38 .41 -.75 101 SCHOOL SUPER(30) 6 2.49 -1.37 2.26 -.88 .45 2.08 -1.93 -1.27 102 SCHOOL SUPER(65) 6 2.98 -1.25 4.24 -1.56 .34 .16 -3.02 1.18 103 SOC SCI TEACHER 7 4.81 -.81 2.58 -.69 -.29 3.79 -1.79 1.44 104 SOCIAL WORKER(53) 6 3.61 -2.37 3.09 .08 .19 2.24 .89 -1.30 105 SOCIAL WORKER(67) 6 4.73 -1.26 3.82 -.16 .92 3.65 -.89 .32 106 SOCIOLOGIST 6 2.66 -2.37 2.23 1.85 .41 1.63 -.48 -.78 107 STUDENT PERSONNEL 6 3.89 -1.44 2.66 1.79 1.01 .47 -.68 -.03 108 UNITARIAN MINISTER 8 4.56 -6.28 1.87 -.20 -2.26 2.23 1.85 -1.70 109 VET(49) 11 6.09 6.71 -4.94 -2.74 -3.08 1.50 -.09 -2.22 110 VET(66) 11 6.59 7.36 -3.94 -1.44 -1.95 1.13 .30 -1.38 111 YMCA PD 7 4.83 -.56 1.43 -.85 -2.38 2.75 -1.44 4.74 112 YMCA SEC 8 3.97 -5.36 2.08 -1.13 -6.19 1.14 2.38 .93 113 YMCA STAFF 7 4.26 -1.37 1.70 .37 -2.40 2.31 .77 3.47 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 1 Seq# ID Seq# ID Seq# ID 1 ACCOUNTANT 11 BANKER(34) 12 BANKER(64) 16 CPA(44) 17 CPA(65) 18 CHAM COMM EXEC 21 COMPUTER PROGRAMMER 24 CREDIT MANAGER 33 FUNERAL DIRECTOR 54 OFFICE WORKER 55 OPTOMETRIST 59 PHARMICIST 88 PURCH AGENT Members of Cluster 2 Seq# ID Seq# ID Seq# ID 3 AIR FORCE OFFICER 6 ARMY OFFICER 9 ASTRONAUT 34 GENERALS AND ADMIRALS 52 NAVY OFFICER 76 PILOT 77 POLICEMEN Members of Cluster 3 Seq# ID Seq# ID Seq# ID 15 CARPENTER 19 CHEMIST 22 CORP PRES(35) 23 CORP PRES(65) 29 ENGINEER 57 PERSONNEL DIRECTOR 58 PETROLEUM ENGINEER 80 PRINTER 81 PRODUCTION MANAGER Members of Cluster 4 Seq# ID Seq# ID Seq# ID 31 FARMER(67) Members of Cluster 5 Seq# ID Seq# ID Seq# ID 5 ANTHROPOLOGIST 10 AUTHORS 14 BUS.ED.TEACHER 27 ECONOMIST 38 JUDGE 39 LAWYER(27) 42 LIBRARIAN 43 MATHEMATICIAN 51 NIAL MEMBER 53 NEWSMEN 74 PHYSICIST(27) 75 PHYSICIST(67) 78 POLITICAL SCIENTIST 82 PSYCHOLOGIST(31) 83 PSYCHOLOGIST(47) 84 PSYCHOLOGIST(49) 85 PSYCHOLOGIST(EXP) 87 PULITZER PRIZE Members of Cluster 6 Seq# ID Seq# ID Seq# ID 35 GOVERNOR 36 GUIDANCE COUNSELOR 40 LAWYER(49) PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 6 Seq# ID Seq# ID Seq# ID 41 LEGISLATOR 86 PUBLIC ADMIN 89 REHAP COUNSELOR 101 SCHOOL SUPER(30) 102 SCHOOL SUPER(65) 104 SOCIAL WORKER(53) 105 SOCIAL WORKER(67) 106 SOCIOLOGIST 107 STUDENT PERSONNEL Members of Cluster 7 Seq# ID Seq# ID Seq# ID 20 COMM REC DIRECTOR 28 ELEM TEACHER 44 MATH-SCIENCE TEACHER 103 SOC SCI TEACHER 111 YMCA PD 113 YMCA STAFF Members of Cluster 8 Seq# ID Seq# ID Seq# ID 46 MINISTER(27) 47 MINISTER(65) 79 PRIEST 108 UNITARIAN MINISTER 112 YMCA SEC Members of Cluster 9 Seq# ID Seq# ID Seq# ID 7 ARCHITECT 8 ARTIST 37 INTERIOR DECORATOR Members of Cluster 10 Seq# ID Seq# ID Seq# ID 25 DANFORTH FELLOW 45 MCKNIGHT FELLOW 48 MPLS.SYMPHONY 49 MUSICIAN 50 MUSIC TEACHER 60 PHOTOGRAPHER Members of Cluster 11 Seq# ID Seq# ID Seq# ID 4 ANIMAL HUSBANDRY PROF. 30 FARMER(36) 32 FOREST SERVICE MEN 109 VET(49) 110 VET(66) Members of Cluster 12 Seq# ID Seq# ID Seq# ID 13 BIOLOGIST 26 DENTIST 56 OSTEOPATH PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 12 Seq# ID Seq# ID Seq# ID 61 PHYSICAL THERAPIST 62 PHYSICIAN(27) 63 PHYSICIAN(49) 64 INTERNIST 65 NEUROLOGICAL SURGEON 66 ORTHOPEDIC SURGEON 67 PATHOLOGIST 68 PEDIATRICIAN 69 PHYSIATRIST 70 PSYCHIATRIST 71 RADIOLOGIST 72 SURGEON 73 UROLOGIST Members of Cluster 13 Seq# ID Seq# ID Seq# ID 2 ADVERTISING MEN 90 SALESMEN,AUTO 91 SALESMEN,COMPUTER 92 SALESMEN,ENCYCLOPEDIA 93 SALESMEN,LIFE(31) 94 SALESMEN,LIFE(66) 95 SALESMEN,3M 96 SALESMEN,3M APPLICANTS 97 SALESMEN,PG&E 98 SALESMEN,REAL ESTATE 99 SALESMEN,STEEL 100 SALES MANAGER PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 2 Number of Types=13 . 7. 2 2 2 4 B B B . . 2 6. 2 . B . 5. . 2 2 B . 4. . . 3 3. . D . 2. D * 1 . D D 3 .D D D 3 3 6 6 6 1. A 3 . 5 .D D D 5 3 6 C C 0. D 5 C6 C . 1 1 5 1 1 3 C C7 7 C 7 . D 5 1 1* 5 C C 7 -1. A A 1 5 15 6C C 6 6C . 1 5 15 5 6 6 * . C -2. A * 5 5 5 C . A 9 5 6 6 . 9 C -3. . A . 9 5 -4. . . -5. 8 . 8 . -6. 8 8 . . 8 -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 3 Number of Types=13 . 7. . . 6. . . 6 5. 6 6 . . 3 6 4. 2 6 6 . 6 . 3 5 6 8 3. 3 3 . 3 3 3 6 7 . D D 3 5 3 66 86 2. 78 . D D D 5 2 2 7 . D 1 5 5 1 7 1.D D 2 2 52 8 . D 1 5 5 5 8 7 .D * 5 1 1 0. D 2 1 1 7 . 5 4 . 1 5 5 1 C -1. D 1 1 C . 5 C . -2. 1 CC . 9 C C . C -3. A CC C B . A C C B . 9 C C B B -4. . C . A B -5. 9 . . -6. . A . A -7. . . A -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 4 Number of Types=13 . 7. . . 6. . A 2 . 5. A . . A 5 2 4. 2 2 2 . . A A A 2 5 3. 1 8 . * 5 1 . 1 5 8 2. 5 5 6 6 . 5 51 5 . 5 1 1 1 4 1. 5 1 5 7 6 8 . 3 1 5 7 . 5 35 666 0. D 9 1 C 6 86 . . 1 3 6 * -1. 9 3 6 8 7 . 3 C 6CC 6 B B . 9 3 CC C B 7 -2. 3 C . D C C .D D D D 3 B B -3.D D C C . * 3 C C . D -4. C . D . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 5 Number of Types=13 . 7. . . 6. 9 . . 5. . . 9 4. . 9 5 . 3 3. 5 5 2 C CCC . 3 5 5 3 C . 3 5 5 3 C 2. 2 5 6C C . 3 555 5 2 C . 2 5 * 66 1. A 5 5 C 6 6 . A 5 666 6 . D A 2 3 3 6 CC C C 0. 5 5 7 C 7 . D 6 . D 1 1 7 -1. D A 1 6 .* D 1 1 . D D B -2. D D A 1 1 8 B . 1 7 7 . D A 1 1 B -3. 8 B . . *1 4 -4. 8 . . -5. 8 . . -6. 8 . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 6 Number of Types=13 . 7. . . 6. . . 5. 4 . . D 4. 7 . 9 6 . 3. 7 7 B . D A A * 5 B . A 6 66 78 2. D D A 5 6 7 . 6 8 B . D 5 5 5 2 66 8 8 B 1.D D A A * C . 8 6 7 B . 5 *2 5 3 6 6 0. D 5 2 5 5 C . D 5 5 C C .D 5 C C -1. D 3 2 3 2 C C 6 . D 3 5 3 C C . 3 3 C C -2. 3 C . 12 C . 1 3 C -3. 1 1 . 11 1 C . 1 1 -4. 1 . 1 1 . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 7 Number of Types=13 . 7. 4 . . 6. . . 3 5. 3 . 9 . 9 3 4. 3 . . 9 3. 3 3 3 . 1 8 . 1 3 8 8 2. 5 3 8 . 1 8 . A 1 B 1. A A 5 2 1 6 67C . D A 5 1 C . D 1 1 5 5 * B 0. 5 5 5 1 6 B . D A * 15 6 C . D D D 1 C 6 6 6 C B -1. A 2 5 5 6 C* C 7 .D D D 5* 1 6 C 7 . D D 2 6 7 7 -2.D 5 55 C 7 . 1 5 C . -3. 6 6 . . -4. . . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 8 Number of Types=13 . 7. . 9 . 6. . 9 . 5. 7 . . 7 4. . 2 7 . 7 3. 9 2 . 1 2 7 . 1 2. D 1 1 C C . 1 2 7 . D 1 2 1 6 C 1. 1 5 1 1 C 8 .* D 1 2 8 6 C . A 2 1 3 6 68 6C 0. D 3 3 6 6 . DD A 53 6 C C B B B . D 55 5 6 C 8 -1. D D D A A * 3 5 3 6 C C6C . A 3 5 35 C 6 B . 5 5 1 C 8 -2. 5 5 C C B . A 5 5 . 3 5 5 -3. 4 . . -4. . . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 3 Number of Types=13 . 7. . . 6. . . 6 5. 6 6 . . 6 3 4. * 2 . 6 . 8 65 3 3. 3 3 . 6 7 3 3 3 . 8 6 65 D 63 3D 2. 8 7 . 7 DD 5 D 2 2 . 51 15 D 1. 8 5 D D 2 2 2 . 8 555 5 1 7 D . 5 5 1 5 D 0. 1 7 1 2 . 5 1 4 . 5 15 C1 -1. C1 D . C 5 . -2. C 1 C . 9 * . C -3. A C CC B . C C A B . 9 C C B B -4. . C . A B -5. 9 . . -6. . A . A -7. . . A -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 4 Number of Types=13 . 7. . . 6. . A 2 . 5. A . . A 2 4. * 2 . . 5 A A 2 2 3. 8 1 . 5 5 5 1 . 8 1 5 2. 6 6 5 . 5 5 1 1 5 . 5 111 1 4 1. 8 5 5 1 7 6 . 5 571 3 . 6 5 3 6 6 0. 8 9 6 D 1 C 6 . . 6 7 7 3 -1. 8 9 7 6 3 . C *C * 3 B B . 9 C C 7 C 3 B -2. C 3 . C C D . D 3D DD B B -3. C CD D . C C DD . D -4. C . D . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 5 Number of Types=13 . 7. . . 6. 9 . . 5. . . 9 4. . 9 5 . 3 3. 5 5 CC C C 2 . C * * . 5 5 C 3 3 2. C5 C6 2 . * 5 C5 3 2 . 5 6 6 * 2 1. 5 6 C5A 6 . 6C 6 . 6 C 7C D 3 C 3 2 0. 75 75 3 . 6D . 11 7 D -1. 1 A 6 D . 1 DD D 1 . D D B -2. 8 1 1D D B . 7 7 B . A 11 D B -3. 8 B . . 111 4 -4. 8 . . -5. 8 . . -6. 8 . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 6 Number of Types=13 . 7. . . 6. . . 5. 4 . . D 4. 7 . 9 6 . 3. 77 B . 9 9 A 5 A D B . 8 6 7A 2. A 5 7 DD 6 . 8 6 B . 8 8 5 5 56 6 D 2 B 1. A 5 AD C 5 D . 8 6 B . 5 565 5 6 3 2 0. 5 5 C5 D 2 . 5 5 C C D 2 . 5 C C D -1. CC 363 D 2 2 . CC 5 D * . 3 CC3 -2. C 3 . C 1 1 2 . C 1 3 -3. 1 1 . 1C1 . 1 1 -4. 1 . * . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 7 Number of Types=13 . 7. 4 . . 6. . . 3 5. 3 . 9 . 9 3 4. 3 . . 9 3. 3 3 3 . 8 1 . 8 8 1 3 2. 8 5 3 . 8 1 . A 1 B 1. 65 17A C A 6 2 . A5 C D . C 5 1 C 1 D B 0. 5 5 1 5 6 2 B . 65 C5 D1 B . C 66 D1* C6 DD B -1. A 5 C C 7 C C 6 2 2 . 615 7 DD D 2 2 . 76 7 D D 2 -2. 5 5C7 D5 . 5C 1 . -3. 6 6 . . -4. . . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 8 Number of Types=13 . 7. . 9 . 6. . 9 . 5. 7 . . 7 4. . 7 2 . 7 3. 9 2 . 7 1 2 . 1 2. C 1 C D . 7 1 2 . 61D1 C 2 1. 8 1 1 C 1 . 8 1 D D D 2 . 8 A 6 1 6 3 2 0. 6 6 D3 . C C 5 D D 3 B B B . 8 65 * DC -1. 565 6C 53 D A 3D D . 5 5 A C 36 3 B . 8 5C 5 -2. C 5 C 5 B . A 5 5 . 5 5 3 -3. 4 . . -4. . . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Sample Size = 113 Number of Variables = 22 Number of Types = 14 Iteration Number 0 Log Likelihood of 14 Types in this sample = -2689.2280 Characteristics of the Whole Sample Means 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 49.3274 47.1416 52.2389 49.6549 52.6460 50.5841 46.8496 52.6726 48.6903 50.6460 52.2389 49.1416 48.4248 54.5575 48.2920 52.6372 49.2212 51.3363 53.9292 53.5575 47.0885 54.4602 Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 4.5163 4.2046 3.7091 6.1006 4.4878 4.2107 4.3298 5.0876 5.4854 3.8349 3.7729 3.3389 5.1453 5.0763 4.3226 5.9572 5.9893 4.7123 5.2810 5.2376 4.3489 4.3620 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .2790 -.1272 .2948 .4196 .1672 .2985 .1229 .3352 .4272 -.0711 -.2854 .0854 .3286 .6488 .2360 .3189 -.0792 .0804 .0267 .4013 -.0678 .2790 1.0000 -.4204 .1261 -.1634 .0363 .4182 .2810 .1458 .4976 -.4568 .5728 .1899 -.1613 .4106 .0589 .2356 -.0462 -.1020 -.3146 .3183 -.5232 -.1272 -.4204 1.0000 -.5032 -.2097 -.3416 -.2546 -.0498 -.4392 -.5260 .7339 .0423 -.5414 -.0151 -.4399 -.0934 -.4358 .0800 .0415 .3362 -.4836 .6310 .2948 .1261 -.5032 1.0000 .5583 .0234 .0114 -.1379 .9348 .5807 -.3740 -.3721 .7896 .4254 .6562 .4957 .8345 -.4697 .4280 -.0707 .4088 -.2242 .4196 -.1634 -.2097 .5583 1.0000 .0419 -.2724 -.0795 .4463 .2647 -.0222 -.4550 .3196 .8749 .4305 .5109 .3621 -.2547 .4799 .3973 .0873 .4043 .1672 .0363 -.3416 .0234 .0419 1.0000 .5975 .1229 -.0186 .1860 -.2143 .0231 .0008 -.1096 -.0099 -.2110 -.1202 .6881 -.3862 .0502 .6138 -.3370 .2985 .4182 -.2546 .0114 -.2724 .5975 1.0000 .3927 .0427 .3752 -.2437 .3253 .1077 -.4049 .2700 -.1493 -.0349 .5681 -.2683 -.1376 .8250 -.5371 .1229 .2810 -.0498 -.1379 -.0795 .1229 .3927 1.0000 -.0319 .0889 .0626 .5357 -.0599 -.0317 .3134 .1213 -.0641 .5051 .1658 .2390 .2369 -.1081 .3352 .1458 -.4392 .9348 .4463 -.0186 .0427 -.0319 1.0000 .5471 -.3385 -.3537 .8026 .3294 .6640 .4613 .8980 -.4657 .3735 -.1086 .3855 -.2958 .4272 .4976 -.5260 .5807 .2647 .1860 .3752 .0889 .5471 1.0000 -.5703 -.0500 .5220 .0851 .6698 .1737 .4507 -.1398 -.0030 -.2717 .5330 -.4357 -.0711 -.4568 .7339 -.3740 -.0222 -.2143 -.2437 .0626 -.3385 -.5703 1.0000 .0107 -.3512 .2019 -.3217 .1547 -.3650 .1408 .2882 .6431 -.3993 .6773 -.2854 .5728 .0423 -.3721 -.4550 .0231 .3253 .5357 -.3537 -.0500 .0107 1.0000 -.0983 -.3346 -.1145 -.0806 -.3821 .4036 -.0717 .0673 .0260 -.1479 .0854 .1899 -.5414 .7896 .3196 .0008 .1077 -.0599 .8026 .5220 -.3512 -.0983 1.0000 .1878 .5304 .4635 .6293 -.3939 .4020 -.0482 .3353 -.3411 .3286 -.1613 -.0151 .4254 .8749 -.1096 -.4049 -.0317 .3294 .0851 .2019 -.3346 .1878 1.0000 .3330 .7061 .3051 -.2701 .6445 .5944 -.1225 .5631 .6488 .4106 -.4399 .6562 .4305 -.0099 .2700 .3134 .6640 .6698 -.3217 -.1145 .5304 .3330 1.0000 .5227 .6436 -.2538 .4308 -.0185 .4477 -.2700 .2360 .0589 -.0934 .4957 .5109 -.2110 -.1493 .1213 .4613 .1737 .1547 -.0806 .4635 .7061 .5227 1.0000 .4137 -.3301 .8695 .5125 -.0032 .2268 .3189 .2356 -.4358 .8345 .3621 -.1202 -.0349 -.0641 .8980 .4507 -.3650 -.3821 .6293 .3051 .6436 .4137 1.0000 -.5457 .3402 -.2085 .2575 -.3281 -.0792 -.0462 .0800 -.4697 -.2547 .6881 .5681 .5051 -.4657 -.1398 .1408 .4036 -.3939 -.2701 -.2538 -.3301 -.5457 1.0000 -.3305 .2757 .3686 -.0230 .0804 -.1020 .0415 .4280 .4799 -.3862 -.2683 .1658 .3735 -.0030 .2882 -.0717 .4020 .6445 .4308 .8695 .3402 -.3305 1.0000 .5671 -.1319 .3602 .0267 -.3146 .3362 -.0707 .3973 .0502 -.1376 .2390 -.1086 -.2717 .6431 .0673 -.0482 .5944 -.0185 .5125 -.2085 .2757 .5671 1.0000 -.1638 .6519 .4013 .3183 -.4836 .4088 .0873 .6138 .8250 .2369 .3855 .5330 -.3993 .0260 .3353 -.1225 .4477 -.0032 .2575 .3686 -.1319 -.1638 1.0000 -.5148 -.0678 -.5232 .6310 -.2242 .4043 -.3370 -.5371 -.1081 -.2958 -.4357 .6773 -.1479 -.3411 .5631 -.2700 .2268 -.3281 -.0230 .3602 .6519 -.5148 1.0000 Within-group Standard Deviations and Correlations Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 3.4816 1.7879 1.8327 3.6637 3.2881 3.2951 2.5354 2.6954 3.3458 2.1282 2.0472 1.5305 3.4396 3.3856 2.6730 3.4884 3.0004 3.1317 3.1196 3.3345 2.5424 2.5791 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .1014 .1495 .1117 .5242 .1027 .2741 .2775 .1610 -.0133 .1432 -.4277 -.1068 .4984 .6116 .3596 .1405 .0148 .2385 .2597 .3767 .2433 .1014 1.0000 -.1227 .1800 -.0019 -.1096 .1930 .0293 .1094 .4605 -.3135 .4603 .1835 .0322 .2828 .1139 .2868 -.1922 -.0546 -.2595 .0939 -.1768 .1495 -.1227 1.0000 -.1895 -.0562 -.1965 .0091 .0643 -.1547 -.2290 .5520 .2281 -.2676 .0347 -.1358 -.0151 -.2847 .0529 .1215 .2252 -.0964 .6422 .1117 .1800 -.1895 1.0000 .5834 -.1266 -.0375 -.0035 .8957 .5427 -.0242 -.1406 .7063 .4630 .5263 .5275 .7993 -.3869 .5436 .2352 .3515 .0956 .5242 -.0019 -.0562 .5834 1.0000 .1322 -.0711 .1434 .5106 .1766 .1055 -.4318 .2517 .8796 .4983 .5505 .4140 -.1221 .4645 .5232 .2960 .4319 .1027 -.1096 -.1965 -.1266 .1322 1.0000 .4992 -.0270 -.1664 -.1148 -.0052 -.0112 -.2031 .1220 -.1307 -.0419 -.2344 .7593 -.3518 .2817 .4818 -.2046 .2741 .1930 .0091 -.0375 -.0711 .4992 1.0000 .1307 -.0134 .1818 .0255 .1056 .0266 -.2069 .2377 -.0882 -.0143 .5366 -.1738 -.0054 .7741 -.2714 .2775 .0293 .0643 -.0035 .1434 -.0270 .1307 1.0000 .1430 .1615 .1713 -.0154 -.1046 .1572 .3704 .2721 .2201 .2646 .3625 .2036 .2401 .0225 .1610 .1094 -.1547 .8957 .5106 -.1664 -.0134 .1430 1.0000 .4681 .0215 -.1791 .7665 .4093 .5120 .5393 .8933 -.3696 .5313 .2623 .3882 .0508 -.0133 .4605 -.2290 .5427 .1766 -.1148 .1818 .1615 .4681 1.0000 -.3238 .0423 .4796 .0763 .5297 .2667 .4801 -.2012 .1612 -.1542 .2566 -.1900 .1432 -.3135 .5520 -.0242 .1055 -.0052 .0255 .1713 .0215 -.3238 1.0000 .1478 -.0662 .2561 -.0331 .2466 -.0864 .1662 .3621 .6348 .1099 .5509 -.4277 .4603 .2281 -.1406 -.4318 -.0112 .1056 -.0154 -.1791 .0423 .1478 1.0000 .0470 -.3529 -.3018 -.1839 -.1408 .1773 -.1806 -.0896 -.1126 .0106 -.1068 .1835 -.2676 .7063 .2517 -.2031 .0266 -.1046 .7665 .4796 -.0662 .0470 1.0000 .0912 .3657 .3471 .7345 -.4350 .3792 .0739 .2139 -.1558 .4984 .0322 .0347 .4630 .8796 .1220 -.2069 .1572 .4093 .0763 .2561 -.3529 .0912 1.0000 .3469 .6409 .3610 -.1057 .4369 .6530 .1519 .5138 .6116 .2828 -.1358 .5263 .4983 -.1307 .2377 .3704 .5120 .5297 -.0331 -.3018 .3657 .3469 1.0000 .5646 .5712 -.2407 .5492 .1179 .3833 .0260 .3596 .1139 -.0151 .5275 .5505 -.0419 -.0882 .2721 .5393 .2667 .2466 -.1839 .3471 .6409 .5646 1.0000 .5983 -.2220 .7477 .5823 .1407 .2127 .1405 .2868 -.2847 .7993 .4140 -.2344 -.0143 .2201 .8933 .4801 -.0864 -.1408 .7345 .3610 .5712 .5983 1.0000 -.4450 .5850 .1652 .2770 -.1122 .0148 -.1922 .0529 -.3869 -.1221 .7593 .5366 .2646 -.3696 -.2012 .1662 .1773 -.4350 -.1057 -.2407 -.2220 -.4450 1.0000 -.3451 .2481 .4548 -.0515 .2385 -.0546 .1215 .5436 .4645 -.3518 -.1738 .3625 .5313 .1612 .3621 -.1806 .3792 .4369 .5492 .7477 .5850 -.3451 1.0000 .4066 .0631 .2656 .2597 -.2595 .2252 .2352 .5232 .2817 -.0054 .2036 .2623 -.1542 .6348 -.0896 .0739 .6530 .1179 .5823 .1652 .2481 .4066 1.0000 .1835 .5075 .3767 .0939 -.0964 .3515 .2960 .4818 .7741 .2401 .3882 .2566 .1099 -.1126 .2139 .1519 .3833 .1407 .2770 .4548 .0631 .1835 1.0000 -.1245 .2433 -.1768 .6422 .0956 .4319 -.2046 -.2714 .0225 .0508 -.1900 .5509 .0106 -.1558 .5138 .0260 .2127 -.1122 -.0515 .2656 .5075 -.1245 1.0000 Means Type Lambda 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1 .1150 49.1538 45.4615 49.3077 54.8462 53.1538 51.9231 46.7692 51.4615 54.2308 51.9231 50.4615 47.3077 54.8462 53.0769 49.0769 53.2308 52.0000 49.0000 52.9231 49.3846 48.0000 51.1538 2 .0619 57.5714 51.1429 50.0000 51.4286 55.2857 55.4286 52.5714 51.8571 49.7143 59.8571 49.5714 48.0000 49.0000 55.1429 51.5714 50.8571 48.1429 53.7143 49.1429 52.0000 53.1429 52.4286 3 .0796 48.6667 46.6667 50.2222 51.5556 50.2222 53.3333 50.6667 49.2222 48.3333 50.4444 49.7778 48.0000 47.7778 50.2222 47.6667 48.8889 49.1111 52.3333 50.2222 48.7778 53.6667 50.7778 4 .0088 48.0000 63.0000 45.0000 46.0000 45.0000 45.0000 54.0000 45.0000 47.0000 53.0000 44.0000 53.0000 52.0000 45.0000 48.0000 55.0000 52.0000 42.0000 53.0000 44.0000 50.0000 43.0000 5 .0796 46.2222 42.7778 54.5556 42.3333 54.8889 47.2222 39.5556 47.6667 41.2222 47.2222 54.0000 47.4444 42.3333 56.6667 43.4444 48.8889 42.0000 49.7778 51.2222 53.8889 40.5556 60.8889 6 .0796 45.7778 43.3333 53.4444 45.7778 50.5556 54.2222 48.2222 51.7778 45.2222 47.4444 53.5556 48.5556 47.2222 52.1111 43.0000 48.4444 44.8889 57.0000 52.2222 57.5556 46.7778 56.0000 7 .1062 47.9167 45.9167 51.0000 53.3333 57.5833 49.6667 44.0000 51.9167 49.8333 51.1667 51.4167 49.2500 51.0833 60.1667 48.9167 56.9167 49.7500 49.7500 59.9167 58.0000 46.2500 57.2500 8 .0531 52.1667 48.1667 51.8333 53.6667 53.5000 49.0000 47.5000 55.6667 52.8333 53.6667 52.3333 49.6667 53.5000 57.3333 56.1667 60.8333 51.5000 50.3333 61.6667 59.0000 47.8333 54.1667 9 .0442 47.8000 46.2000 54.8000 51.0000 54.6000 46.8000 45.4000 53.2000 49.0000 48.0000 56.2000 50.0000 50.0000 63.0000 48.4000 68.6000 49.8000 49.2000 65.4000 59.8000 45.0000 59.8000 10 .0265 46.0000 45.0000 64.0000 42.3333 44.3333 45.3333 44.0000 46.3333 45.0000 47.6667 53.6667 50.3333 42.0000 47.0000 41.6667 45.6667 44.6667 48.0000 48.0000 48.0000 41.3333 54.0000 11 .0531 50.6667 44.6667 58.8333 43.3333 50.5000 47.6667 44.0000 50.5000 43.6667 45.5000 62.6667 48.0000 43.1667 54.1667 44.6667 52.3333 44.6667 50.1667 55.1667 59.0000 41.3333 59.3333 12 .0442 49.6000 60.0000 47.6000 47.8000 48.6000 51.0000 48.4000 57.2000 47.4000 52.0000 48.4000 57.8000 49.6000 50.8000 49.6000 51.0000 49.0000 52.2000 51.4000 49.6000 47.2000 48.6000 13 .1416 48.3125 48.3125 53.3125 44.6250 50.0625 51.5000 50.5000 61.6250 45.3125 49.5625 52.9375 53.1250 44.9375 51.6875 48.3125 49.7500 45.6875 56.7500 51.8750 54.3750 48.2500 53.8125 14 .1062 52.3333 47.7500 50.8333 56.5000 55.0000 49.1667 44.3333 50.0000 55.8333 52.0833 50.1667 44.6667 49.3333 57.0833 51.9167 53.0000 61.6667 46.2500 54.0000 49.5833 46.5833 53.0833 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Iteration 1 Log likelihood of 14 types in this sample = -2640.6002 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Sample Size = 113 Number of Variables = 22 Number of Types = 14 Iteration Number 2 Log Likelihood of 14 Types in this sample = -2640.6001 Characteristics of the Whole Sample Means 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 49.3274 47.1416 52.2389 49.6549 52.6460 50.5841 46.8496 52.6726 48.6903 50.6460 52.2389 49.1416 48.4248 54.5575 48.2920 52.6372 49.2212 51.3363 53.9292 53.5575 47.0885 54.4602 Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 4.5163 4.2046 3.7091 6.1006 4.4878 4.2107 4.3298 5.0876 5.4854 3.8349 3.7729 3.3389 5.1453 5.0763 4.3226 5.9572 5.9893 4.7123 5.2810 5.2376 4.3489 4.3620 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .2790 -.1272 .2948 .4196 .1672 .2985 .1229 .3352 .4272 -.0711 -.2854 .0854 .3286 .6488 .2360 .3189 -.0792 .0804 .0267 .4013 -.0678 .2790 1.0000 -.4204 .1261 -.1634 .0363 .4182 .2810 .1458 .4976 -.4568 .5728 .1899 -.1613 .4106 .0589 .2356 -.0462 -.1020 -.3146 .3183 -.5232 -.1272 -.4204 1.0000 -.5032 -.2097 -.3416 -.2546 -.0498 -.4392 -.5260 .7339 .0423 -.5414 -.0151 -.4399 -.0934 -.4358 .0800 .0415 .3362 -.4836 .6310 .2948 .1261 -.5032 1.0000 .5583 .0234 .0114 -.1379 .9348 .5807 -.3740 -.3721 .7896 .4254 .6562 .4957 .8345 -.4697 .4280 -.0707 .4088 -.2242 .4196 -.1634 -.2097 .5583 1.0000 .0419 -.2724 -.0795 .4463 .2647 -.0222 -.4550 .3196 .8749 .4305 .5109 .3621 -.2547 .4799 .3973 .0873 .4043 .1672 .0363 -.3416 .0234 .0419 1.0000 .5975 .1229 -.0186 .1860 -.2143 .0231 .0008 -.1096 -.0099 -.2110 -.1202 .6881 -.3862 .0502 .6138 -.3370 .2985 .4182 -.2546 .0114 -.2724 .5975 1.0000 .3927 .0427 .3752 -.2437 .3253 .1077 -.4049 .2700 -.1493 -.0349 .5681 -.2683 -.1376 .8250 -.5371 .1229 .2810 -.0498 -.1379 -.0795 .1229 .3927 1.0000 -.0319 .0889 .0626 .5357 -.0599 -.0317 .3134 .1213 -.0641 .5051 .1658 .2390 .2369 -.1081 .3352 .1458 -.4392 .9348 .4463 -.0186 .0427 -.0319 1.0000 .5471 -.3385 -.3537 .8026 .3294 .6640 .4613 .8980 -.4657 .3735 -.1086 .3855 -.2958 .4272 .4976 -.5260 .5807 .2647 .1860 .3752 .0889 .5471 1.0000 -.5703 -.0500 .5220 .0851 .6698 .1737 .4507 -.1398 -.0030 -.2717 .5330 -.4357 -.0711 -.4568 .7339 -.3740 -.0222 -.2143 -.2437 .0626 -.3385 -.5703 1.0000 .0107 -.3512 .2019 -.3217 .1547 -.3650 .1408 .2882 .6431 -.3993 .6773 -.2854 .5728 .0423 -.3721 -.4550 .0231 .3253 .5357 -.3537 -.0500 .0107 1.0000 -.0983 -.3346 -.1145 -.0806 -.3821 .4036 -.0717 .0673 .0260 -.1479 .0854 .1899 -.5414 .7896 .3196 .0008 .1077 -.0599 .8026 .5220 -.3512 -.0983 1.0000 .1878 .5304 .4635 .6293 -.3939 .4020 -.0482 .3353 -.3411 .3286 -.1613 -.0151 .4254 .8749 -.1096 -.4049 -.0317 .3294 .0851 .2019 -.3346 .1878 1.0000 .3330 .7061 .3051 -.2701 .6445 .5944 -.1225 .5631 .6488 .4106 -.4399 .6562 .4305 -.0099 .2700 .3134 .6640 .6698 -.3217 -.1145 .5304 .3330 1.0000 .5227 .6436 -.2538 .4308 -.0185 .4477 -.2700 .2360 .0589 -.0934 .4957 .5109 -.2110 -.1493 .1213 .4613 .1737 .1547 -.0806 .4635 .7061 .5227 1.0000 .4137 -.3301 .8695 .5125 -.0032 .2268 .3189 .2356 -.4358 .8345 .3621 -.1202 -.0349 -.0641 .8980 .4507 -.3650 -.3821 .6293 .3051 .6436 .4137 1.0000 -.5457 .3402 -.2085 .2575 -.3281 -.0792 -.0462 .0800 -.4697 -.2547 .6881 .5681 .5051 -.4657 -.1398 .1408 .4036 -.3939 -.2701 -.2538 -.3301 -.5457 1.0000 -.3305 .2757 .3686 -.0230 .0804 -.1020 .0415 .4280 .4799 -.3862 -.2683 .1658 .3735 -.0030 .2882 -.0717 .4020 .6445 .4308 .8695 .3402 -.3305 1.0000 .5671 -.1319 .3602 .0267 -.3146 .3362 -.0707 .3973 .0502 -.1376 .2390 -.1086 -.2717 .6431 .0673 -.0482 .5944 -.0185 .5125 -.2085 .2757 .5671 1.0000 -.1638 .6519 .4013 .3183 -.4836 .4088 .0873 .6138 .8250 .2369 .3855 .5330 -.3993 .0260 .3353 -.1225 .4477 -.0032 .2575 .3686 -.1319 -.1638 1.0000 -.5148 -.0678 -.5232 .6310 -.2242 .4043 -.3370 -.5371 -.1081 -.2958 -.4357 .6773 -.1479 -.3411 .5631 -.2700 .2268 -.3281 -.0230 .3602 .6519 -.5148 1.0000 Within-group Standard Deviations and Correlations Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 3.4814 1.7880 1.8328 3.6638 3.2882 3.2950 2.5355 2.6956 3.3459 2.1282 2.0472 1.5305 3.4397 3.3857 2.6728 3.4884 3.0005 3.1318 3.1194 3.3345 2.5425 2.5791 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .1013 .1495 .1116 .5241 .1028 .2741 .2775 .1609 -.0134 .1432 -.4277 -.1068 .4983 .6115 .3594 .1404 .0149 .2383 .2597 .3767 .2433 .1013 1.0000 -.1227 .1800 -.0019 -.1096 .1930 .0294 .1094 .4605 -.3135 .4604 .1835 .0322 .2828 .1139 .2868 -.1922 -.0547 -.2594 .0938 -.1768 .1495 -.1227 1.0000 -.1896 -.0562 -.1964 .0092 .0644 -.1547 -.2291 .5520 .2281 -.2677 .0346 -.1359 -.0152 -.2848 .0530 .1214 .2252 -.0963 .6421 .1116 .1800 -.1896 1.0000 .5834 -.1266 -.0376 -.0036 .8957 .5427 -.0243 -.1405 .7064 .4630 .5263 .5276 .7994 -.3870 .5436 .2352 .3514 .0956 .5241 -.0019 -.0562 .5834 1.0000 .1322 -.0712 .1433 .5105 .1766 .1055 -.4318 .2517 .8796 .4983 .5506 .4140 -.1221 .4645 .5232 .2959 .4319 .1028 -.1096 -.1964 -.1266 .1322 1.0000 .4992 -.0270 -.1664 -.1148 -.0052 -.0112 -.2031 .1220 -.1307 -.0419 -.2344 .7592 -.3518 .2817 .4818 -.2046 .2741 .1930 .0092 -.0376 -.0712 .4992 1.0000 .1308 -.0135 .1817 .0256 .1057 .0266 -.2070 .2377 -.0883 -.0144 .5367 -.1739 -.0055 .7741 -.2714 .2775 .0294 .0644 -.0036 .1433 -.0270 .1308 1.0000 .1429 .1615 .1713 -.0153 -.1047 .1571 .3704 .2720 .2200 .2647 .3624 .2035 .2401 .0225 .1609 .1094 -.1547 .8957 .5105 -.1664 -.0135 .1429 1.0000 .4681 .0215 -.1791 .7665 .4093 .5120 .5393 .8933 -.3696 .5313 .2624 .3881 .0508 -.0134 .4605 -.2291 .5427 .1766 -.1148 .1817 .1615 .4681 1.0000 -.3238 .0424 .4797 .0763 .5298 .2667 .4802 -.2012 .1612 -.1542 .2566 -.1901 .1432 -.3135 .5520 -.0243 .1055 -.0052 .0256 .1713 .0215 -.3238 1.0000 .1477 -.0662 .2560 -.0332 .2465 -.0865 .1662 .3620 .6348 .1099 .5508 -.4277 .4604 .2281 -.1405 -.4318 -.0112 .1057 -.0153 -.1791 .0424 .1477 1.0000 .0470 -.3528 -.3017 -.1838 -.1408 .1773 -.1806 -.0896 -.1125 .0106 -.1068 .1835 -.2677 .7064 .2517 -.2031 .0266 -.1047 .7665 .4797 -.0662 .0470 1.0000 .0912 .3657 .3472 .7345 -.4350 .3792 .0739 .2138 -.1558 .4983 .0322 .0346 .4630 .8796 .1220 -.2070 .1571 .4093 .0763 .2560 -.3528 .0912 1.0000 .3469 .6409 .3610 -.1058 .4369 .6531 .1518 .5138 .6115 .2828 -.1359 .5263 .4983 -.1307 .2377 .3704 .5120 .5298 -.0332 -.3017 .3657 .3469 1.0000 .5646 .5712 -.2407 .5491 .1179 .3832 .0260 .3594 .1139 -.0152 .5276 .5506 -.0419 -.0883 .2720 .5393 .2667 .2465 -.1838 .3472 .6409 .5646 1.0000 .5983 -.2220 .7477 .5823 .1406 .2127 .1404 .2868 -.2848 .7994 .4140 -.2344 -.0144 .2200 .8933 .4802 -.0865 -.1408 .7345 .3610 .5712 .5983 1.0000 -.4450 .5850 .1652 .2769 -.1122 .0149 -.1922 .0530 -.3870 -.1221 .7592 .5367 .2647 -.3696 -.2012 .1662 .1773 -.4350 -.1058 -.2407 -.2220 -.4450 1.0000 -.3451 .2481 .4549 -.0515 .2383 -.0547 .1214 .5436 .4645 -.3518 -.1739 .3624 .5313 .1612 .3620 -.1806 .3792 .4369 .5491 .7477 .5850 -.3451 1.0000 .4066 .0630 .2656 .2597 -.2594 .2252 .2352 .5232 .2817 -.0055 .2035 .2624 -.1542 .6348 -.0896 .0739 .6531 .1179 .5823 .1652 .2481 .4066 1.0000 .1835 .5076 .3767 .0938 -.0963 .3514 .2959 .4818 .7741 .2401 .3881 .2566 .1099 -.1125 .2138 .1518 .3832 .1406 .2769 .4549 .0630 .1835 1.0000 -.1245 .2433 -.1768 .6421 .0956 .4319 -.2046 -.2714 .0225 .0508 -.1901 .5508 .0106 -.1558 .5138 .0260 .2127 -.1122 -.0515 .2656 .5076 -.1245 1.0000 Means Type Lambda 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1 .1150 49.1538 45.4615 49.3077 54.8462 53.1538 51.9230 46.7692 51.4615 54.2308 51.9231 50.4615 47.3077 54.8462 53.0769 49.0769 53.2308 52.0000 48.9999 52.9231 49.3846 48.0000 51.1538 2 .0619 57.5714 51.1429 50.0000 51.4286 55.2857 55.4286 52.5714 51.8571 49.7143 59.8571 49.5714 48.0000 49.0000 55.1429 51.5714 50.8571 48.1429 53.7143 49.1429 52.0000 53.1429 52.4286 3 .0796 48.6667 46.6667 50.2222 51.5556 50.2222 53.3333 50.6667 49.2222 48.3333 50.4444 49.7778 48.0000 47.7778 50.2222 47.6667 48.8889 49.1111 52.3333 50.2222 48.7778 53.6667 50.7778 4 .0088 48.0000 63.0000 45.0000 46.0000 45.0000 45.0000 54.0000 45.0000 47.0000 53.0000 44.0000 53.0000 52.0000 45.0000 48.0000 55.0000 52.0000 42.0000 53.0000 44.0000 50.0000 43.0000 5 .0796 46.2222 42.7778 54.5556 42.3333 54.8889 47.2222 39.5556 47.6667 41.2222 47.2222 54.0000 47.4444 42.3333 56.6667 43.4444 48.8889 42.0000 49.7778 51.2222 53.8889 40.5556 60.8889 6 .0797 45.7763 43.3342 53.4433 45.7801 50.5571 54.2218 48.2208 51.7772 45.2231 47.4453 53.5544 48.5560 47.2234 52.1128 43.0013 48.4467 44.8902 56.9983 52.2238 57.5567 46.7765 56.0000 7 .1062 47.9176 45.9168 51.0000 53.3337 57.5840 49.6663 43.9999 51.9170 49.8342 51.1672 51.4167 49.2501 51.0839 60.1673 48.9168 56.9170 49.7505 49.7497 59.9167 57.9991 46.2508 57.2502 8 .0531 52.1675 48.1668 51.8340 53.6648 53.5006 48.9995 47.5008 55.6687 52.8309 53.6658 52.3339 49.6670 53.4971 57.3332 56.1666 60.8326 51.4988 50.3340 61.6672 58.9996 47.8336 54.1672 9 .0442 47.8000 46.2000 54.8000 51.0000 54.6000 46.8000 45.4000 53.2000 49.0000 48.0000 56.2000 50.0000 50.0000 63.0000 48.4000 68.6000 49.8000 49.2000 65.4000 59.8000 45.0000 59.8000 10 .0265 46.0000 45.0000 64.0000 42.3333 44.3333 45.3333 44.0000 46.3333 45.0000 47.6667 53.6667 50.3333 42.0000 47.0000 41.6667 45.6667 44.6667 48.0000 48.0000 48.0000 41.3333 54.0000 11 .0531 50.6667 44.6667 58.8333 43.3333 50.5000 47.6667 44.0000 50.5000 43.6667 45.5000 62.6667 48.0000 43.1667 54.1667 44.6667 52.3333 44.6667 50.1667 55.1667 59.0000 41.3333 59.3333 12 .0442 49.6000 60.0000 47.6000 47.8000 48.6000 51.0000 48.4000 57.2000 47.4000 52.0000 48.4000 57.8000 49.6000 50.8000 49.6000 51.0000 49.0000 52.2000 51.4000 49.6000 47.2000 48.6000 13 .1416 48.3120 48.3122 53.3125 44.6246 50.0622 51.5002 50.4998 61.6247 45.3121 49.5620 52.9375 53.1250 44.9371 51.6873 48.3115 49.7490 45.6871 56.7502 51.8742 54.3747 48.2498 53.8126 14 .1062 52.3333 47.7500 50.8333 56.5000 55.0000 49.1667 44.3333 50.0000 55.8333 52.0833 50.1667 44.6667 49.3333 57.0833 51.9167 53.0000 61.6667 46.2500 54.0000 49.5833 46.5833 53.0833 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Functions 1 2 3 4 5 6 7 8 9 10 11 12 13 Variable 1 .0905 .2542 -.0907 .1527 .0499 -.1018 .1027 -.0601 .0157 .0086 -.1101 .2832 .0200 Variable 2 .0082 .4964 .5060 .2475 .3494 .4997 -.1292 .2172 -.2951 -.2392 .0177 -.1390 .2426 Variable 3 .2980 -.3699 .1838 -.1582 -.4404 .0580 -.2054 -.4877 -.1204 -.0973 -.0920 .1380 .1011 Variable 4 .1136 -.1472 .1075 -.1493 .2795 -.2987 -.0765 .0983 -.2484 -.0421 .1347 .4380 .0656 Variable 5 .3567 .1437 .3244 .2064 -.2848 -.1340 -.1254 .2872 .3203 .0262 -.1124 -.0901 -.3581 Variable 6 .0002 .1902 -.0720 .0055 .1281 -.0471 .0996 -.0129 -.0475 -.1202 .0162 .1174 -.0874 Variable 7 -.2580 -.2562 .2461 -.0074 .4205 -.0890 .1066 .0195 -.2072 .3147 -.3590 -.2690 -.3080 Variable 8 -.2006 -.0512 .2095 -.1136 .1773 -.3198 .0471 .1552 -.0870 .0877 .0034 .0633 -.0831 Variable 9 -.4502 .1476 .3901 .2112 .2575 .2396 .1001 -.4204 .2687 -.1927 -.1941 -.4592 -.0859 Variable 10 .1818 .3839 -.2937 .4321 -.2353 -.0555 .2529 -.1959 .0936 .2908 -.1273 .0931 -.1326 Variable 11 .5209 .0556 .5659 .3430 .3511 -.0200 -.0290 .2126 .1463 .1852 .3245 .1432 -.0661 Variable 12 -.4798 -.0564 -.2948 -.4077 -.6512 -.1443 .0590 -.1666 .5892 .1633 -.0638 .3930 -.2808 Variable 13 -.1060 -.1812 -.0361 .0867 .2170 -.0840 .0539 .0228 -.0641 -.1533 -.0208 .0561 .2252 Variable 14 -.4123 -.4963 -.2255 -.2633 .0976 .1761 .1728 -.3256 .0554 .1630 -.0290 .0958 .2016 Variable 15 -.1230 -.2975 .0682 -.3992 -.1898 .1790 .1437 -.2555 .1230 -.1500 .5231 -.3158 .1821 Variable 16 .0611 -.1860 .1106 .0824 .2371 -.0997 -.3686 .0857 .1727 .2166 -.0205 -.0765 .1163 Variable 17 .8967 .0675 -.2709 -.3894 -.3061 .0287 .1196 .2801 -.0769 .2278 -.1325 .1471 -.0336 Variable 18 .3058 -.1929 .1822 .0486 .1910 .1722 .1789 -.0384 .0248 -.0848 -.1340 .0100 .5315 Variable 19 -.2893 .1881 -.3077 .1504 -.0101 .3332 .1819 -.0757 -.1808 -.1584 -.1535 .1063 -.1619 Variable 20 -.1623 .2383 -.1113 -.0022 -.3961 .0911 .1213 -.0519 -.3394 -.1629 .0859 -.0865 -.1622 Variable 21 -.1446 .2057 -.6197 -.1340 -.5965 -.0728 -.4917 .0834 -.0221 .0318 .3534 .1084 .0792 Variable 22 -.0369 .1282 -.2990 .0472 .2977 -.0655 .1500 .3971 -.0845 .0900 -.0736 -.1450 .1839 Eigenvalues of B/W= 20.1672 7.8452 6.1750 4.5754 3.9878 3.3882 2.4611 2.2355 1.5642 1.1282 Eigenvalues of B/W= .8038 .4311 .2667 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 1 ACCOUNTANT 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 2 ADVERTISING MEN 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 3 AIR FORCE OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 4 ANIMAL HUSBANDRY PROF. 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 5 ANTHROPOLOGIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 6 ARMY OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 7 ARCHITECT 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 8 ARTIST 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 9 ASTRONAUT 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 10 AUTHORS 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 11 BANKER(34) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 12 BANKER(64) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 13 BIOLOGIST 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 14 BUS.ED.TEACHER 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 15 CARPENTER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 16 CPA(44) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 17 CPA(65) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 18 CHAM COMM EXEC 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 19 CHEMIST 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 20 COMM REC DIRECTOR 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 21 COMPUTER PROGRAMMER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 22 CORP PRES(35) 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 23 CORP PRES(65) 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 24 CREDIT MANAGER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 25 DANFORTH FELLOW 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 26 DENTIST 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 27 ECONOMIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 28 ELEM TEACHER 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 29 ENGINEER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 30 FARMER(36) 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 31 FARMER(67) 4 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 32 FOREST SERVICE MEN 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 33 FUNERAL DIRECTOR 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 34 GENERALS AND ADMIRALS 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 35 GOVERNOR 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 36 GUIDANCE COUNSELOR 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 37 INTERIOR DECORATOR 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 38 JUDGE 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 39 LAWYER(27) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 40 LAWYER(49) 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 41 LEGISLATOR 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 42 LIBRARIAN 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 43 MATHEMATICIAN 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 44 MATH-SCIENCE TEACHER 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 45 MCKNIGHT FELLOW 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 46 MINISTER(27) 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 47 MINISTER(65) 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 48 MPLS.SYMPHONY 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 49 MUSICIAN 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 50 MUSIC TEACHER 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 51 NIAL MEMBER 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 52 NAVY OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 53 NEWSMEN 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 54 OFFICE WORKER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 55 OPTOMETRIST 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 56 OSTEOPATH 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 57 PERSONNEL DIRECTOR 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 58 PETROLEUM ENGINEER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 59 PHARMICIST 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 60 PHOTOGRAPHER 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 61 PHYSICAL THERAPIST 13 .000 .000 .000 .000 .000 .000 .000 .002 .000 .000 .000 .000 .998 .000 62 PHYSICIAN(27) 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 63 PHYSICIAN(49) 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 64 INTERNIST 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 65 NEUROLOGICAL SURGEON 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 66 ORTHOPEDIC SURGEON 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 67 PATHOLOGIST 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 68 PEDIATRICIAN 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 69 PHYSIATRIST 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 70 PSYCHIATRIST 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 71 RADIOLOGIST 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 72 SURGEON 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 73 UROLOGIST 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 74 PHYSICIST(27) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 75 PHYSICIST(67) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 76 PILOT 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 77 POLICEMEN 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 78 POLITICAL SCIENTIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 79 PRIEST 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 80 PRINTER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 81 PRODUCTION MANAGER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 82 PSYCHOLOGIST(31) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 83 PSYCHOLOGIST(47) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 84 PSYCHOLOGIST(49) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 85 PSYCHOLOGIST(EXP) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 86 PUBLIC ADMIN 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 87 PULITZER PRIZE 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 88 PURCH AGENT 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 89 REHAP COUNSELOR 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 90 SALESMEN,AUTO 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 91 SALESMEN,COMPUTER 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 92 SALESMEN,ENCYCLOPEDIA 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 93 SALESMEN,LIFE(31) 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 94 SALESMEN,LIFE(66) 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 95 SALESMEN,3M 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 96 SALESMEN,3M APPLICANTS 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 97 SALESMEN,PG&E 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 98 SALESMEN,REAL ESTATE 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 99 SALESMEN,STEEL 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 100 SALES MANAGER 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 101 SCHOOL SUPER(30) 7 .000 .000 .000 .000 .000 .003 .997 .000 .000 .000 .000 .000 .000 .000 102 SCHOOL SUPER(65) 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 103 SOC SCI TEACHER 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 104 SOCIAL WORKER(53) 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 105 SOCIAL WORKER(67) 7 .000 .000 .000 .000 .000 .000 .999 .001 .000 .000 .000 .000 .000 .000 106 SOCIOLOGIST 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 107 STUDENT PERSONNEL 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 108 UNITARIAN MINISTER 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 109 VET(49) 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 110 VET(66) 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 111 YMCA PD 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 112 YMCA SEC 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 113 YMCA STAFF 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 1 ACCOUNTANT 1 .41 -1.31 -.07 .73 3.24 -3.55 -.83 -1.50 2 ADVERTISING MEN 14 9.21 -.59 .19 -.33 -.21 .55 1.18 -1.09 3 AIR FORCE OFFICER 2 1.65 4.72 -3.79 3.31 .90 -1.90 1.48 -1.79 4 ANIMAL HUSBANDRY PROF. 12 -8.29 4.35 3.51 -2.30 -.60 3.77 .65 .71 5 ANTHROPOLOGIST 5 1.72 -.23 1.01 2.50 -4.28 1.03 .09 2.11 6 ARMY OFFICER 2 -.62 8.24 -1.18 5.52 .12 -1.89 1.46 -1.00 7 ARCHITECT 10 5.15 -3.04 2.33 -.11 -6.34 -.14 -3.69 -6.24 8 ARTIST 10 5.55 -2.71 4.75 -.28 -6.37 1.89 -2.78 -3.08 9 ASTRONAUT 2 .08 6.57 -1.08 3.32 -.38 -1.07 1.23 -2.74 10 AUTHORS 5 2.38 -1.67 -2.36 1.39 -2.29 -.10 .10 2.10 11 BANKER(34) 1 .33 -.65 .51 .43 4.46 -1.53 -2.03 2.12 12 BANKER(64) 1 -.26 -.37 .11 1.58 5.80 -1.76 -1.44 .02 13 BIOLOGIST 13 -3.59 .34 4.39 .05 -1.05 -.38 1.10 .99 14 BUS.ED.TEACHER 6 .24 .21 -1.18 -.27 1.36 .33 1.76 -1.38 15 CARPENTER 3 -.81 1.94 -2.49 -.83 -1.77 -.80 -4.63 -.88 16 CPA(44) 1 -1.32 2.17 .26 1.91 3.18 -2.37 .19 -.60 17 CPA(65) 1 -.44 -.48 -.98 .73 2.79 -3.26 -.12 -1.24 18 CHAM COMM EXEC 1 1.95 -1.30 -.94 .67 3.37 -1.31 -.51 -.41 19 CHEMIST 3 -.75 1.71 -2.14 -1.54 -1.88 -2.56 -1.83 1.04 20 COMM REC DIRECTOR 8 -6.71 -.58 -.40 -1.64 -.23 2.16 1.46 -4.13 21 COMPUTER PROGRAMMER 1 .00 -.63 1.38 .87 2.49 -2.22 -.67 -.78 22 CORP PRES(35) 3 3.30 .92 -2.90 -2.79 -1.23 -1.51 -4.27 .91 23 CORP PRES(65) 3 1.64 1.28 -2.19 -3.44 -.39 -.73 -3.10 2.51 24 CREDIT MANAGER 1 .62 -.47 1.35 -.06 3.93 -1.85 .43 -.72 25 DANFORTH FELLOW 11 3.55 -3.43 3.24 4.39 2.86 2.55 1.26 2.42 26 DENTIST 13 -3.75 -2.60 4.10 -3.85 -2.12 -3.41 -.21 -1.65 27 ECONOMIST 5 2.51 -2.44 -.59 2.70 -.94 -.71 -.85 1.18 28 ELEM TEACHER 8 -4.05 -.30 .28 .60 .08 2.21 2.70 -3.47 29 ENGINEER 3 2.20 1.51 -3.12 .58 -1.56 -2.30 -3.81 -.44 30 FARMER(36) 12 -5.64 6.59 2.78 -1.27 -.08 4.14 -1.49 .58 31 FARMER(67) 4 -5.35 9.54 .13 1.44 .83 6.47 -6.91 2.24 32 FOREST SERVICE MEN 12 -5.75 5.76 3.53 -1.63 1.38 1.86 .16 .68 33 FUNERAL DIRECTOR 1 .01 -.21 .91 -.90 4.44 -.62 -2.53 -2.06 34 GENERALS AND ADMIRALS 2 -.98 5.92 -1.46 4.92 -2.50 -.16 2.02 -3.27 35 GOVERNOR 7 -3.08 -.58 -3.55 .41 .24 1.86 3.09 .52 36 GUIDANCE COUNSELOR 7 -4.29 -1.38 -3.87 -1.66 -.84 1.35 1.82 -.53 37 INTERIOR DECORATOR 10 5.01 -3.74 3.78 .73 -3.81 .78 -3.33 -7.19 38 JUDGE 5 1.71 -3.09 -.87 2.39 -3.02 -.70 .68 1.87 39 LAWYER(27) 5 1.41 -.08 -2.01 2.68 -1.49 -.12 1.80 1.05 40 LAWYER(49) 7 -2.74 .35 -5.10 .51 -2.41 .16 -.22 1.81 41 LEGISLATOR 7 -.73 .80 -5.35 -.86 -1.01 2.11 .82 .70 42 LIBRARIAN 6 -.79 -2.23 -.29 3.78 .98 -.60 .01 1.32 43 MATHEMATICIAN 6 .53 -.23 -1.08 2.51 -.27 -.05 .22 1.08 44 MATH-SCIENCE TEACHER 8 -4.97 -1.38 -.83 -1.60 .45 -.27 2.34 -2.74 45 MCKNIGHT FELLOW 11 6.44 -2.18 7.58 4.53 -.54 2.20 -.20 -.18 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 46 MINISTER(27) 9 -5.79 -6.72 -.58 .16 4.50 3.28 -2.27 .90 47 MINISTER(65) 9 -3.99 -6.25 -2.81 1.50 3.68 2.94 -1.53 -.20 48 MPLS.SYMPHONY 11 3.95 -1.95 6.30 3.44 -.41 .68 -1.13 .42 49 MUSICIAN 11 6.68 -.77 6.98 3.27 1.10 1.26 -.76 .98 50 MUSIC TEACHER 11 5.10 -.65 5.05 5.10 2.65 2.24 .81 .96 51 NIAL MEMBER 5 3.03 -2.65 .40 2.36 -3.66 1.29 -1.02 2.43 52 NAVY OFFICER 2 .00 4.63 -1.56 3.62 .82 -2.78 .07 -.62 53 NEWSMEN 5 2.89 -1.20 -.33 3.05 -.51 .76 1.65 1.70 54 OFFICE WORKER 1 3.43 -.02 .97 1.21 4.02 -2.95 -.28 -1.22 55 OPTOMETRIST 1 -1.36 -.89 1.19 .62 2.69 -3.19 1.32 -.90 56 OSTEOPATH 13 -4.41 -.12 2.89 -2.06 -.34 -1.49 1.26 -.79 57 PERSONNEL DIRECTOR 3 .69 .05 -2.51 -1.02 -2.46 -2.65 -2.67 -.18 58 PETROLEUM ENGINEER 3 -.17 3.29 -2.67 -1.00 .34 -2.01 -2.79 .28 59 PHARMICIST 1 .60 -.04 2.64 -1.86 4.22 -3.16 2.20 .07 60 PHOTOGRAPHER 11 5.33 1.06 3.52 3.40 -.68 1.51 -.48 .55 61 PHYSICAL THERAPIST 13 -5.38 -.50 2.33 -2.31 -1.10 .74 1.07 -1.67 62 PHYSICIAN(27) 13 -3.51 -.13 2.17 -1.57 -2.47 -1.81 1.17 -.67 63 PHYSICIAN(49) 13 -3.40 -.40 2.45 -1.45 -.87 -2.51 .79 .59 64 INTERNIST 13 -3.77 -1.22 1.58 -1.67 -1.50 -1.21 2.34 1.33 65 NEUROLOGICAL SURGEON 13 -3.78 -.94 1.31 -3.23 -2.76 -2.03 -.07 1.50 66 ORTHOPEDIC SURGEON 13 -4.76 .31 3.11 -3.00 -2.79 -1.03 -.88 -.57 67 PATHOLOGIST 13 -3.36 -1.00 2.38 -1.12 -2.06 -2.27 1.29 .93 68 PEDIATRICIAN 13 -4.66 -1.67 3.46 -1.95 .33 -1.52 .84 2.09 69 PHYSIATRIST 13 -3.20 -1.91 3.71 -1.32 -.26 -1.51 .59 .65 70 PSYCHIATRIST 13 -2.65 -.63 .95 -.94 -2.43 -1.92 2.25 1.43 71 RADIOLOGIST 13 -4.78 -.75 3.62 -2.66 .37 -2.78 -.92 2.35 72 SURGEON 13 -4.38 .28 3.18 -2.94 -1.71 -2.30 .83 1.15 73 UROLOGIST 13 -5.23 -1.16 3.90 -3.14 -.13 -1.96 .13 -.01 74 PHYSICIST(27) 6 .20 -1.11 -.20 1.57 .30 -.41 -1.06 -.01 75 PHYSICIST(67) 6 .68 -1.74 .06 1.08 .70 -.56 .87 .48 76 PILOT 2 .70 8.19 -.15 3.42 .22 .07 -.66 -.42 77 POLICEMEN 2 -.16 5.63 -1.82 4.29 -1.32 -.85 1.63 -2.15 78 POLITICAL SCIENTIST 5 2.00 -2.91 -3.54 4.11 -3.27 .63 -.21 3.15 79 PRIEST 9 -3.26 -5.26 -.36 2.22 2.89 1.86 -2.15 -.56 80 PRINTER 3 -.60 -.65 -2.92 .10 .35 -1.53 -2.37 1.06 81 PRODUCTION MANAGER 3 1.04 1.01 -4.25 -2.03 -1.37 -3.39 -4.84 .67 82 PSYCHOLOGIST(31) 6 .13 -1.24 .66 .56 -1.50 -2.25 2.41 .76 83 PSYCHOLOGIST(47) 6 -.31 -1.46 -1.08 .68 -.42 -.79 2.78 1.97 84 PSYCHOLOGIST(49) 6 -1.56 -1.04 -.71 .12 -.69 -1.31 .65 2.41 85 PSYCHOLOGIST(EXP) 6 -.88 -.60 1.15 1.47 .07 -2.70 1.60 2.00 86 PUBLIC ADMIN 7 -3.85 .82 -2.48 .88 -.53 -1.18 -.89 -.33 87 PULITZER PRIZE 5 3.30 -4.54 -.53 1.57 -4.22 .37 -.09 1.96 88 PURCH AGENT 1 1.60 -.87 -.29 -.43 3.47 -2.50 -2.29 -2.20 89 REHAP COUNSELOR 7 -3.49 -.07 -5.06 .22 -1.49 .04 1.10 -.01 90 SALESMEN,AUTO 14 11.43 1.51 -.03 -3.11 1.39 -.02 1.29 -.27 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 91 SALESMEN,COMPUTER 14 10.82 3.06 -1.34 -2.91 1.21 -.79 1.81 1.19 92 SALESMEN,ENCYCLOPEDIA 14 8.53 1.54 -.82 -3.26 .76 4.77 1.03 .34 93 SALESMEN,LIFE(31) 14 9.41 .29 -1.26 -4.37 -.35 2.37 1.29 1.30 94 SALESMEN,LIFE(66) 14 10.19 1.33 1.00 -3.33 -.40 3.41 1.40 1.66 95 SALESMEN,3M 14 10.29 .29 -1.13 -3.30 1.52 2.29 1.99 -1.99 96 SALESMEN,3M APPLICANTS 14 11.97 .75 -.56 -3.63 1.28 1.20 2.33 -.63 97 SALESMEN,PG&E 14 9.09 2.05 -.78 -3.88 .21 1.15 1.21 -.12 98 SALESMEN,REAL ESTATE 14 8.56 1.84 -.30 -2.84 .55 .46 .25 .91 99 SALESMEN,STEEL 14 7.50 2.08 -2.13 -3.22 1.06 .44 -.44 -.21 100 SALES MANAGER 14 7.77 .42 -1.93 -4.48 1.68 -.57 -.59 .79 101 SCHOOL SUPER(30) 7 -2.86 -1.38 -2.14 -.94 -.58 1.37 2.20 1.01 102 SCHOOL SUPER(65) 7 -3.19 -1.37 -4.11 -1.77 -.07 -.23 3.19 -.99 103 SOC SCI TEACHER 8 -4.90 -1.06 -2.63 -.51 -.91 3.37 2.21 -1.58 104 SOCIAL WORKER(53) 7 -3.40 -2.70 -3.13 .27 -.94 1.96 -.79 1.00 105 SOCIAL WORKER(67) 7 -4.73 -1.60 -3.90 .12 -1.73 2.71 1.36 -.71 106 SOCIOLOGIST 7 -2.25 -2.73 -2.35 2.08 -.77 1.34 .49 .77 107 STUDENT PERSONNEL 7 -3.74 -1.76 -2.76 1.91 -.67 -.07 .76 .02 108 UNITARIAN MINISTER 9 -4.17 -6.57 -1.74 -.30 .94 3.10 -1.96 1.51 109 VET(49) 12 -6.78 6.82 4.70 -2.50 .76 3.06 -.31 2.45 110 VET(66) 12 -7.24 7.36 3.60 -1.10 .14 2.23 -.60 1.57 111 YMCA PD 8 -4.90 -.73 -1.43 -.96 1.06 3.38 1.83 -4.54 112 YMCA SEC 9 -4.20 -5.29 -1.69 -2.12 5.04 3.58 -2.50 -.91 113 YMCA STAFF 8 -4.56 -1.42 -1.60 .01 1.79 2.84 -.33 -3.68 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 1 Seq# ID Seq# ID Seq# ID 1 ACCOUNTANT 11 BANKER(34) 12 BANKER(64) 16 CPA(44) 17 CPA(65) 18 CHAM COMM EXEC 21 COMPUTER PROGRAMMER 24 CREDIT MANAGER 33 FUNERAL DIRECTOR 54 OFFICE WORKER 55 OPTOMETRIST 59 PHARMICIST 88 PURCH AGENT Members of Cluster 2 Seq# ID Seq# ID Seq# ID 3 AIR FORCE OFFICER 6 ARMY OFFICER 9 ASTRONAUT 34 GENERALS AND ADMIRALS 52 NAVY OFFICER 76 PILOT 77 POLICEMEN Members of Cluster 3 Seq# ID Seq# ID Seq# ID 15 CARPENTER 19 CHEMIST 22 CORP PRES(35) 23 CORP PRES(65) 29 ENGINEER 57 PERSONNEL DIRECTOR 58 PETROLEUM ENGINEER 80 PRINTER 81 PRODUCTION MANAGER Members of Cluster 4 Seq# ID Seq# ID Seq# ID 31 FARMER(67) Members of Cluster 5 Seq# ID Seq# ID Seq# ID 5 ANTHROPOLOGIST 10 AUTHORS 27 ECONOMIST 38 JUDGE 39 LAWYER(27) 51 NIAL MEMBER 53 NEWSMEN 78 POLITICAL SCIENTIST 87 PULITZER PRIZE Members of Cluster 6 Seq# ID Seq# ID Seq# ID 14 BUS.ED.TEACHER 42 LIBRARIAN 43 MATHEMATICIAN PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 6 Seq# ID Seq# ID Seq# ID 74 PHYSICIST(27) 75 PHYSICIST(67) 82 PSYCHOLOGIST(31) 83 PSYCHOLOGIST(47) 84 PSYCHOLOGIST(49) 85 PSYCHOLOGIST(EXP) Members of Cluster 7 Seq# ID Seq# ID Seq# ID 35 GOVERNOR 36 GUIDANCE COUNSELOR 40 LAWYER(49) 41 LEGISLATOR 86 PUBLIC ADMIN 89 REHAP COUNSELOR 101 SCHOOL SUPER(30) 102 SCHOOL SUPER(65) 104 SOCIAL WORKER(53) 105 SOCIAL WORKER(67) 106 SOCIOLOGIST 107 STUDENT PERSONNEL Members of Cluster 8 Seq# ID Seq# ID Seq# ID 20 COMM REC DIRECTOR 28 ELEM TEACHER 44 MATH-SCIENCE TEACHER 103 SOC SCI TEACHER 111 YMCA PD 113 YMCA STAFF Members of Cluster 9 Seq# ID Seq# ID Seq# ID 46 MINISTER(27) 47 MINISTER(65) 79 PRIEST 108 UNITARIAN MINISTER 112 YMCA SEC Members of Cluster 10 Seq# ID Seq# ID Seq# ID 7 ARCHITECT 8 ARTIST 37 INTERIOR DECORATOR Members of Cluster 11 Seq# ID Seq# ID Seq# ID 25 DANFORTH FELLOW 45 MCKNIGHT FELLOW 48 MPLS.SYMPHONY 49 MUSICIAN 50 MUSIC TEACHER 60 PHOTOGRAPHER Members of Cluster 12 Seq# ID Seq# ID Seq# ID 4 ANIMAL HUSBANDRY PROF. 30 FARMER(36) 32 FOREST SERVICE MEN PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 12 Seq# ID Seq# ID Seq# ID 109 VET(49) 110 VET(66) Members of Cluster 13 Seq# ID Seq# ID Seq# ID 13 BIOLOGIST 26 DENTIST 56 OSTEOPATH 61 PHYSICAL THERAPIST 62 PHYSICIAN(27) 63 PHYSICIAN(49) 64 INTERNIST 65 NEUROLOGICAL SURGEON 66 ORTHOPEDIC SURGEON 67 PATHOLOGIST 68 PEDIATRICIAN 69 PHYSIATRIST 70 PSYCHIATRIST 71 RADIOLOGIST 72 SURGEON 73 UROLOGIST Members of Cluster 14 Seq# ID Seq# ID Seq# ID 2 ADVERTISING MEN 90 SALESMEN,AUTO 91 SALESMEN,COMPUTER 92 SALESMEN,ENCYCLOPEDIA 93 SALESMEN,LIFE(31) 94 SALESMEN,LIFE(66) 95 SALESMEN,3M 96 SALESMEN,3M APPLICANTS 97 SALESMEN,PG&E 98 SALESMEN,REAL ESTATE 99 SALESMEN,STEEL 100 SALES MANAGER PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 2 Number of Types=14 . 7. C C 4 2 2 . C 2 . 6. C 2 . 2 . 5. 2 . C 2 . 4. . . 3 E 3. . . 1 E E 2. 33 E . 3 E E . 3 3 B E 1. 7 7 3 E . D 7 E . D D 6 3 E E 0. D 8 7 1 1 55 1 . 8 D D7 D 63111 1 1 B E . 8D D D 1 1 B -1. D 8 D 6 * 1 1 5 . 8787 77 6 . D 7 D 6 5 B -2. 6 B . D 5 5 . 7 7 5 A -3. 5 A . B . A -4. . 5 . -5. 9 9 . . -6. 9 . 9 . 9 -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 3 Number of Types=14 . 7. BB . . B 6. . . B 5. C A . D . D 4. D D A . C C C * B . D D B 3. C D . D * 1 . D A 2. . D 1 1 . D 1 6 5 E 1. D 1 1 . 61 5 . 4 8 1 1 6 E 0. 6 6 12 1 5 E E . 8 9 9 5 5 E . 8 6 1 51 E E -1. 2 6 266 E E . 8 8 2 2 E . * 2 E -2. 7 3 53 E . 8 7 7 3 3 5 . 97 3 3 3 -3. 7 3 . 7 5 . 7 7 2 -4. 7 3 . . -5. 7 7 . 7 . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 4 Number of Types=14 . 7. . . 6. . 2 . B 5. 2 . B B . 2 5 4. 6 . 2 2 B B . 2 2 5 B 3. 5 5 . 6 * 5 . 9 7 2. 7 1 . 4 9 6 1 6 5 5 . 6 1 1. 7 161 1 1 A . 8 7 7 1 61 3 . 9 78 77 6 3 0. 9 6 1 A A E . 8 1 . 8 7D 37 1 -1. C C * 3 3 . 8 C 8 7 DD 3 . D D 7 1 -2. C D D 9 3 . C D . D 3 E E -3. D D D E E EE E . 3 E . D E -4. . E E . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 5 Number of Types=14 . 7. . . 6. 1 . . 9 5. . 9 11 . 1 1 4. 9 1 . 1 1 . 1 1 3. 9 1 1 B . 1 B . 2. 8 E . C 6 E E . 8 B E E E 1. C 4 9 6 2 6 2 E . 8D 3 3 E . C D 8 7 62 6 2 E 0. 8 C D D7 6 E . C D 7 7 6 2 3 5 B B E E . 8 7 7 7 7 6 5 B -1. D D 7 2 3 . D7 6 3 5 3 . 7 D 33 -2. D D 5 . D D 2 3 . D D -3. 5 5 . 5 . A -4. 5 5 . . -5. . . -6. . A A . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 6 Number of Types=14 . 7. . 4 . 6. . . 5. E . . C 4. C . * 9 E . C 9 9 3. 78 9 . B E . C 8 8 7 B B E 2. C 77 A . 7 7 7 B . 5 5 B E E 1. D 5 B A . 5 5 E E E . 7 7 6 2 0. 8 7 7 2 6 5 5 A E . D 6 6 6 E . 3 62 5 5 E -1. D 7D 6 2 1 . DD D 3 1 3 . D D D 2 1 1 2 -2. D D D 36 3 . D 1 3 3 1 . D 6 2 1 -3. 1 1 1 . D 1 3 . -4. . . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 7 Number of Types=14 . 7. . . 6. . . 5. . . 4. . . * 3. 8 6 . 8 D 6 . 8 7D 2 1 E 2. 8 7 6 5 E E . 8 7 62 2 2 5 E . D D 7D 1 2 B E EEE E 1. D D 7 D 7 6 5 B . C D 7 6 1 . C D 1 6 2 6 5 5 E 0. C 8 * 7 1 5 51 B . C 2 1 B EE . * 7 7 1 1 5 B -1. 6 5 B . C 9 1 . 9 3 -2. 9 9 1 1 . 9 3 1 3 . 3 A -3. 3 . A . 3 A -4. 3 . 3 . 3 -5. . . -6. . . 4 -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 8 Number of Types=14 . 7. . . 6. . . 5. . . 4. . . 5 3. . C D 6 3 5 B . 4 D 6 1 5 5 2. 7 6 5 5 5 . C 9 * D E . D 7 7 3 6 5 5 E E 1. C 9 DD 7 7 6 3 3 B B E E . C *7 6 B B E . 7 13 1 0. D 7 7 6 3 B E E E . D 7 9 1 2 2 1 3 E . 7D 9 D 7 1 32 1 1 -1. 1 1 E . 8 D 61 . D 2 E -2. 21 1 . . 8 2 -3. 2 A . 8 . 8 -4. 8 . 8 . -5. . . -6. A . . -7. A . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 3 Number of Types=14 . 7. B B . . B 6. . . B 5. A C . D . D 4. A D D . D D B C C C . B * 3. D C . D DD1 . A D 2. . D 11 . D6 5 E 1. D 11 . 5 6 1 . 6 E8 1 4 0. 6 561 E E 2 . 9 9 5 5 8 E . 5 86 1 E E -1. 6 6 * 2 2 . 8 8 E 2 2 . 9 9 E 2 -2. 7 5 3 3 E . 7 5 8 3 7 3 . 9 7 3 3 3 -3. 7 3 . 5 7 . 77 2 -4. 7 3 . . -5. 7 7 . 7 . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 4 Number of Types=14 . 7. . . 6. . 2 . B 5. 2 . B B . 5 2 4. 6 . B B 2 2 . 5 B 2 2 3. 5 5 . 5 5 6 . 9 7 2. 7 1 . 9 5 5 6 6 1 4 . 6 1 1. A 6* 11 7 . 6 1178 7 3 . 9 7 8 6 3 7 D 0. 9 A A 1 6 . 81 . 7 8 1 7 3 -1. D D 3 3 C C . 8 8DD 3 C . D 7 1 -2. 9 D D 3 C . D C . D 3 E E -3. DD E E* E . E 3 . D E -4. . EE . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 5 Number of Types=14 . 7. . . 6. 1 . . 9 5. . 9 1 1 . * 4. 9 1 . 1 1 . 1 1 3. 9 B 1 1 . B . 2. 8 E . E E C . 8 E E E 1. 9 6 6 E * C 4 . 8 3 E 3 . D 6 678 E C 22 0. D 7D 86 C . BB 67 D E 7 E C 2 . *5 7 78 D B -1. D D 7 2 . 6 7 3 3 . 7 D 33 -2. D 5 D . D D37 2 . D D -3. 55 . 5 . A -4. 5 5 . . -5. . . -6. . A A . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 6 Number of Types=14 . 7. . 4 . 6. . . 5. E . . C 4. C . 9 8 8 E . 99 C 3. 9 8 . B E . B B88 E 7 C 2. 9 7 7 C . 7 * B . 5 B 5 E E 1. A B 5 D . 5 5 E EE . 7 7 2 0. A 7 7 65 E 2 . 6 6 6 1 DE . 5 5 6 3 3 E 2 -1. D6 D 7 2 . DD 3 D 3 . D D11D 2 2 -2. 6 *1 D 3 3 . 1 D 3 3 1 . 6 1 2 -3. 1 1 1 . D 1 3 . -4. . . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 7 Number of Types=14 . 7. . . 6. . . 5. . . 4. . . 7 7 3. 6 8 . 6 . 78 D 1 E 2 2. 7 8 5 E E . 75 68 E 2 2 2 . B D D 7 E * E 2 1. 5 7 B D D 7 . 7 D 6 1 C . 6 5 D 6 E1 2 C 0. 5 5D B 8 D 1 1 7 C . 1 E B E C 2 . 75 1 D D 7 -1. 5 B 6 . 9 1 C . 9 3 -2. 9 9 11 . 9 3 1 3 . A 3 -3. 3 . A . A 3 -4. 3 . 3 . 3 -5. . . -6. . . 4 -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 8 Number of Types=14 . 7. . . 6. . . 5. . . 4. . . 5 3. . B 5 6 D 3 C . D 6 5 4 2. 5 5 65 7 . 9 D DD E C . 756 7 3 65 E 3 E 1. 9 7 6 D* DE 73 E C C . D6 7D B E C . 7 11 3 0. 9 B 6 73 7 E * . 9 7 D E 3 1 2 2 . 9 77 111 * 3 2 -1. 1 1 . D 18 6 . D E 2 -2. 1 1 2 . . 8 2 -3. A 2 . 8 . 8 -4. 8 . 8 . -5. . . -6. A . . -7. A . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Logarithm of likelihood ratio of 14 to 13 types= .48627904E+02 Pseudo Chi-square with 44 degrees of freedom= 71.87 "Probability" of null hypothesis= .00502972 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Sample Size = 113 Number of Variables = 22 Number of Types = 15 Iteration Number 0 Log Likelihood of 15 Types in this sample = -2640.6001 Characteristics of the Whole Sample Means 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 49.3274 47.1416 52.2389 49.6549 52.6460 50.5841 46.8496 52.6726 48.6903 50.6460 52.2389 49.1416 48.4248 54.5575 48.2920 52.6372 49.2212 51.3363 53.9292 53.5575 47.0885 54.4602 Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 4.5163 4.2046 3.7091 6.1006 4.4878 4.2107 4.3298 5.0876 5.4854 3.8349 3.7729 3.3389 5.1453 5.0763 4.3226 5.9572 5.9893 4.7123 5.2810 5.2376 4.3489 4.3620 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .2790 -.1272 .2948 .4196 .1672 .2985 .1229 .3352 .4272 -.0711 -.2854 .0854 .3286 .6488 .2360 .3189 -.0792 .0804 .0267 .4013 -.0678 .2790 1.0000 -.4204 .1261 -.1634 .0363 .4182 .2810 .1458 .4976 -.4568 .5728 .1899 -.1613 .4106 .0589 .2356 -.0462 -.1020 -.3146 .3183 -.5232 -.1272 -.4204 1.0000 -.5032 -.2097 -.3416 -.2546 -.0498 -.4392 -.5260 .7339 .0423 -.5414 -.0151 -.4399 -.0934 -.4358 .0800 .0415 .3362 -.4836 .6310 .2948 .1261 -.5032 1.0000 .5583 .0234 .0114 -.1379 .9348 .5807 -.3740 -.3721 .7896 .4254 .6562 .4957 .8345 -.4697 .4280 -.0707 .4088 -.2242 .4196 -.1634 -.2097 .5583 1.0000 .0419 -.2724 -.0795 .4463 .2647 -.0222 -.4550 .3196 .8749 .4305 .5109 .3621 -.2547 .4799 .3973 .0873 .4043 .1672 .0363 -.3416 .0234 .0419 1.0000 .5975 .1229 -.0186 .1860 -.2143 .0231 .0008 -.1096 -.0099 -.2110 -.1202 .6881 -.3862 .0502 .6138 -.3370 .2985 .4182 -.2546 .0114 -.2724 .5975 1.0000 .3927 .0427 .3752 -.2437 .3253 .1077 -.4049 .2700 -.1493 -.0349 .5681 -.2683 -.1376 .8250 -.5371 .1229 .2810 -.0498 -.1379 -.0795 .1229 .3927 1.0000 -.0319 .0889 .0626 .5357 -.0599 -.0317 .3134 .1213 -.0641 .5051 .1658 .2390 .2369 -.1081 .3352 .1458 -.4392 .9348 .4463 -.0186 .0427 -.0319 1.0000 .5471 -.3385 -.3537 .8026 .3294 .6640 .4613 .8980 -.4657 .3735 -.1086 .3855 -.2958 .4272 .4976 -.5260 .5807 .2647 .1860 .3752 .0889 .5471 1.0000 -.5703 -.0500 .5220 .0851 .6698 .1737 .4507 -.1398 -.0030 -.2717 .5330 -.4357 -.0711 -.4568 .7339 -.3740 -.0222 -.2143 -.2437 .0626 -.3385 -.5703 1.0000 .0107 -.3512 .2019 -.3217 .1547 -.3650 .1408 .2882 .6431 -.3993 .6773 -.2854 .5728 .0423 -.3721 -.4550 .0231 .3253 .5357 -.3537 -.0500 .0107 1.0000 -.0983 -.3346 -.1145 -.0806 -.3821 .4036 -.0717 .0673 .0260 -.1479 .0854 .1899 -.5414 .7896 .3196 .0008 .1077 -.0599 .8026 .5220 -.3512 -.0983 1.0000 .1878 .5304 .4635 .6293 -.3939 .4020 -.0482 .3353 -.3411 .3286 -.1613 -.0151 .4254 .8749 -.1096 -.4049 -.0317 .3294 .0851 .2019 -.3346 .1878 1.0000 .3330 .7061 .3051 -.2701 .6445 .5944 -.1225 .5631 .6488 .4106 -.4399 .6562 .4305 -.0099 .2700 .3134 .6640 .6698 -.3217 -.1145 .5304 .3330 1.0000 .5227 .6436 -.2538 .4308 -.0185 .4477 -.2700 .2360 .0589 -.0934 .4957 .5109 -.2110 -.1493 .1213 .4613 .1737 .1547 -.0806 .4635 .7061 .5227 1.0000 .4137 -.3301 .8695 .5125 -.0032 .2268 .3189 .2356 -.4358 .8345 .3621 -.1202 -.0349 -.0641 .8980 .4507 -.3650 -.3821 .6293 .3051 .6436 .4137 1.0000 -.5457 .3402 -.2085 .2575 -.3281 -.0792 -.0462 .0800 -.4697 -.2547 .6881 .5681 .5051 -.4657 -.1398 .1408 .4036 -.3939 -.2701 -.2538 -.3301 -.5457 1.0000 -.3305 .2757 .3686 -.0230 .0804 -.1020 .0415 .4280 .4799 -.3862 -.2683 .1658 .3735 -.0030 .2882 -.0717 .4020 .6445 .4308 .8695 .3402 -.3305 1.0000 .5671 -.1319 .3602 .0267 -.3146 .3362 -.0707 .3973 .0502 -.1376 .2390 -.1086 -.2717 .6431 .0673 -.0482 .5944 -.0185 .5125 -.2085 .2757 .5671 1.0000 -.1638 .6519 .4013 .3183 -.4836 .4088 .0873 .6138 .8250 .2369 .3855 .5330 -.3993 .0260 .3353 -.1225 .4477 -.0032 .2575 .3686 -.1319 -.1638 1.0000 -.5148 -.0678 -.5232 .6310 -.2242 .4043 -.3370 -.5371 -.1081 -.2958 -.4357 .6773 -.1479 -.3411 .5631 -.2700 .2268 -.3281 -.0230 .3602 .6519 -.5148 1.0000 Within-group Standard Deviations and Correlations Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 3.4713 1.6144 1.8230 3.6502 3.2716 3.2945 2.5354 2.6932 3.3445 2.0238 2.0205 1.5168 3.4266 3.3433 2.6718 3.4757 2.9912 3.1251 3.0591 3.2168 2.5343 2.5767 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .0761 .1586 .1058 .5207 .1015 .2749 .2817 .1594 -.0390 .1580 -.4431 -.1142 .4939 .6114 .3685 .1353 .0198 .2592 .2910 .3728 .2475 .0761 1.0000 -.0875 .1592 -.0500 -.1305 .2137 .0519 .1078 .3814 -.2742 .4504 .1626 -.0397 .2994 .1674 .2812 -.1823 .0334 -.1680 .0660 -.1757 .1586 -.0875 1.0000 -.1824 -.0464 -.1956 .0092 .0605 -.1527 -.2086 .5454 .2453 -.2611 .0517 -.1335 -.0241 -.2790 .0465 .1040 .2065 -.0889 .6418 .1058 .1592 -.1824 1.0000 .5798 -.1287 -.0376 .0000 .8970 .5449 -.0107 -.1539 .7042 .4569 .5260 .5388 .7980 -.3835 .5736 .2681 .3470 .0997 .5207 -.0500 -.0464 .5798 1.0000 .1310 -.0715 .1484 .5105 .1539 .1239 -.4514 .2452 .8792 .4981 .5640 .4095 -.1164 .4962 .5725 .2904 .4388 .1015 -.1305 -.1956 -.1287 .1310 1.0000 .4993 -.0263 -.1670 -.1270 -.0022 -.0138 -.2056 .1205 -.1314 -.0404 -.2367 .7622 -.3550 .2973 .4819 -.2040 .2749 .2137 .0092 -.0376 -.0715 .4993 1.0000 .1308 -.0134 .1912 .0258 .1066 .0267 -.2095 .2378 -.0885 -.0143 .5377 -.1772 -.0056 .7766 -.2716 .2817 .0519 .0605 .0000 .1484 -.0263 .1308 1.0000 .1443 .1832 .1670 -.0101 -.1015 .1658 .3721 .2698 .2241 .2627 .3619 .2001 .2443 .0208 .1594 .1078 -.1527 .8970 .5105 -.1670 -.0134 .1443 1.0000 .4833 .0264 -.1846 .7673 .4102 .5116 .5439 .8942 -.3687 .5476 .2797 .3873 .0521 -.0390 .3814 -.2086 .5449 .1539 -.1270 .1912 .1832 .4833 1.0000 -.2920 .0012 .4780 .0294 .5478 .3094 .4809 -.1908 .2380 -.0793 .2446 -.1862 .1580 -.2742 .5454 -.0107 .1239 -.0022 .0258 .1670 .0264 -.2920 1.0000 .1730 -.0531 .2888 -.0287 .2368 -.0750 .1581 .3416 .6222 .1248 .5517 -.4431 .4504 .2453 -.1539 -.4514 -.0138 .1066 -.0101 -.1846 .0012 .1730 1.0000 .0360 -.3820 -.3086 -.1747 -.1531 .1880 -.1590 -.0571 -.1248 .0164 -.1142 .1626 -.2611 .7042 .2452 -.2056 .0267 -.1015 .7673 .4780 -.0531 .0360 1.0000 .0788 .3647 .3572 .7327 -.4319 .4055 .1006 .2084 -.1529 .4939 -.0397 .0517 .4569 .8792 .1205 -.2095 .1658 .4102 .0294 .2888 -.3820 .0788 1.0000 .3468 .6650 .3541 -.0969 .4830 .7290 .1415 .5275 .6114 .2994 -.1335 .5260 .4981 -.1314 .2378 .3721 .5116 .5478 -.0287 -.3086 .3647 .3468 1.0000 .5694 .5709 -.2394 .5662 .1302 .3824 .0273 .3685 .1674 -.0241 .5388 .5640 -.0404 -.0885 .2698 .5439 .3094 .2368 -.1747 .3572 .6650 .5694 1.0000 .6091 -.2289 .7482 .5824 .1486 .2100 .1353 .2812 -.2790 .7980 .4095 -.2367 -.0143 .2241 .8942 .4809 -.0750 -.1531 .7327 .3541 .5709 .6091 1.0000 -.4422 .6141 .1932 .2725 -.1093 .0198 -.1823 .0465 -.3835 -.1164 .7622 .5377 .2627 -.3687 -.1908 .1581 .1880 -.4319 -.0969 -.2394 -.2289 -.4422 1.0000 -.3657 .2400 .4625 -.0544 .2592 .0334 .1040 .5736 .4962 -.3550 -.1772 .3619 .5476 .2380 .3416 -.1590 .4055 .4830 .5662 .7482 .6141 -.3657 1.0000 .3752 .0806 .2626 .2910 -.1680 .2065 .2681 .5725 .2973 -.0056 .2001 .2797 -.0793 .6222 -.0571 .1006 .7290 .1302 .5824 .1932 .2400 .3752 1.0000 .2128 .5150 .3728 .0660 -.0889 .3470 .2904 .4819 .7766 .2443 .3873 .2446 .1248 -.1248 .2084 .1415 .3824 .1486 .2725 .4625 .0806 .2128 1.0000 -.1216 .2475 -.1757 .6418 .0997 .4388 -.2040 -.2716 .0208 .0521 -.1862 .5517 .0164 -.1529 .5275 .0273 .2100 -.1093 -.0544 .2626 .5150 -.1216 1.0000 Means Type Lambda 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1 .1150 49.1538 45.4615 49.3077 54.8462 53.1538 51.9231 46.7692 51.4615 54.2308 51.9231 50.4615 47.3077 54.8462 53.0769 49.0769 53.2308 52.0000 49.0000 52.9231 49.3846 48.0000 51.1538 2 .0619 57.5714 51.1429 50.0000 51.4286 55.2857 55.4286 52.5714 51.8571 49.7143 59.8571 49.5714 48.0000 49.0000 55.1429 51.5714 50.8571 48.1429 53.7143 49.1429 52.0000 53.1429 52.4286 3 .0796 48.6667 46.6667 50.2222 51.5556 50.2222 53.3333 50.6667 49.2222 48.3333 50.4444 49.7778 48.0000 47.7778 50.2222 47.6667 48.8889 49.1111 52.3333 50.2222 48.7778 53.6667 50.7778 4 .0088 48.0000 63.0000 45.0000 46.0000 45.0000 45.0000 54.0000 45.0000 47.0000 53.0000 44.0000 53.0000 52.0000 45.0000 48.0000 55.0000 52.0000 42.0000 53.0000 44.0000 50.0000 43.0000 5 .0796 46.2222 42.7778 54.5556 42.3333 54.8889 47.2222 39.5556 47.6667 41.2222 47.2222 54.0000 47.4444 42.3333 56.6667 43.4444 48.8889 42.0000 49.7778 51.2222 53.8889 40.5556 60.8889 6 .0796 45.7778 43.3333 53.4444 45.7778 50.5556 54.2222 48.2222 51.7778 45.2222 47.4444 53.5556 48.5556 47.2222 52.1111 43.0000 48.4444 44.8889 57.0000 52.2222 57.5556 46.7778 56.0000 7 .0265 49.3333 50.0000 50.0000 55.0000 59.3333 50.0000 44.0000 51.3333 50.3333 54.6667 49.6667 50.3333 52.6667 63.0000 49.3333 55.3333 51.0000 48.6667 56.6667 53.3333 47.3333 56.6667 8 .0796 47.4444 44.5556 51.3333 52.7778 57.0000 49.5556 44.0000 52.1111 49.6667 50.0000 52.0000 48.8889 50.5556 59.2222 48.7778 57.4444 49.3333 50.1111 61.0000 59.5556 45.8889 57.4444 9 .0531 52.1667 48.1667 51.8333 53.6667 53.5000 49.0000 47.5000 55.6667 52.8333 53.6667 52.3333 49.6667 53.5000 57.3333 56.1667 60.8333 51.5000 50.3333 61.6667 59.0000 47.8333 54.1667 10 .0442 47.8000 46.2000 54.8000 51.0000 54.6000 46.8000 45.4000 53.2000 49.0000 48.0000 56.2000 50.0000 50.0000 63.0000 48.4000 68.6000 49.8000 49.2000 65.4000 59.8000 45.0000 59.8000 11 .0265 46.0000 45.0000 64.0000 42.3333 44.3333 45.3333 44.0000 46.3333 45.0000 47.6667 53.6667 50.3333 42.0000 47.0000 41.6667 45.6667 44.6667 48.0000 48.0000 48.0000 41.3333 54.0000 12 .0531 50.6667 44.6667 58.8333 43.3333 50.5000 47.6667 44.0000 50.5000 43.6667 45.5000 62.6667 48.0000 43.1667 54.1667 44.6667 52.3333 44.6667 50.1667 55.1667 59.0000 41.3333 59.3333 13 .0442 49.6000 60.0000 47.6000 47.8000 48.6000 51.0000 48.4000 57.2000 47.4000 52.0000 48.4000 57.8000 49.6000 50.8000 49.6000 51.0000 49.0000 52.2000 51.4000 49.6000 47.2000 48.6000 14 .1416 48.3125 48.3125 53.3125 44.6250 50.0625 51.5000 50.5000 61.6250 45.3125 49.5625 52.9375 53.1250 44.9375 51.6875 48.3125 49.7500 45.6875 56.7500 51.8750 54.3750 48.2500 53.8125 15 .1062 52.3333 47.7500 50.8333 56.5000 55.0000 49.1667 44.3333 50.0000 55.8333 52.0833 50.1667 44.6667 49.3333 57.0833 51.9167 53.0000 61.6667 46.2500 54.0000 49.5833 46.5833 53.0833 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Iteration 1 Log likelihood of 15 types in this sample = -2600.1224 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Sample Size = 113 Number of Variables = 22 Number of Types = 15 Iteration Number 2 Log Likelihood of 15 Types in this sample = -2600.1223 Characteristics of the Whole Sample Means 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 49.3274 47.1416 52.2389 49.6549 52.6460 50.5841 46.8496 52.6726 48.6903 50.6460 52.2389 49.1416 48.4248 54.5575 48.2920 52.6372 49.2212 51.3363 53.9292 53.5575 47.0885 54.4602 Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 4.5163 4.2046 3.7091 6.1006 4.4878 4.2107 4.3298 5.0876 5.4854 3.8349 3.7729 3.3389 5.1453 5.0763 4.3226 5.9572 5.9893 4.7123 5.2810 5.2376 4.3489 4.3620 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .2790 -.1272 .2948 .4196 .1672 .2985 .1229 .3352 .4272 -.0711 -.2854 .0854 .3286 .6488 .2360 .3189 -.0792 .0804 .0267 .4013 -.0678 .2790 1.0000 -.4204 .1261 -.1634 .0363 .4182 .2810 .1458 .4976 -.4568 .5728 .1899 -.1613 .4106 .0589 .2356 -.0462 -.1020 -.3146 .3183 -.5232 -.1272 -.4204 1.0000 -.5032 -.2097 -.3416 -.2546 -.0498 -.4392 -.5260 .7339 .0423 -.5414 -.0151 -.4399 -.0934 -.4358 .0800 .0415 .3362 -.4836 .6310 .2948 .1261 -.5032 1.0000 .5583 .0234 .0114 -.1379 .9348 .5807 -.3740 -.3721 .7896 .4254 .6562 .4957 .8345 -.4697 .4280 -.0707 .4088 -.2242 .4196 -.1634 -.2097 .5583 1.0000 .0419 -.2724 -.0795 .4463 .2647 -.0222 -.4550 .3196 .8749 .4305 .5109 .3621 -.2547 .4799 .3973 .0873 .4043 .1672 .0363 -.3416 .0234 .0419 1.0000 .5975 .1229 -.0186 .1860 -.2143 .0231 .0008 -.1096 -.0099 -.2110 -.1202 .6881 -.3862 .0502 .6138 -.3370 .2985 .4182 -.2546 .0114 -.2724 .5975 1.0000 .3927 .0427 .3752 -.2437 .3253 .1077 -.4049 .2700 -.1493 -.0349 .5681 -.2683 -.1376 .8250 -.5371 .1229 .2810 -.0498 -.1379 -.0795 .1229 .3927 1.0000 -.0319 .0889 .0626 .5357 -.0599 -.0317 .3134 .1213 -.0641 .5051 .1658 .2390 .2369 -.1081 .3352 .1458 -.4392 .9348 .4463 -.0186 .0427 -.0319 1.0000 .5471 -.3385 -.3537 .8026 .3294 .6640 .4613 .8980 -.4657 .3735 -.1086 .3855 -.2958 .4272 .4976 -.5260 .5807 .2647 .1860 .3752 .0889 .5471 1.0000 -.5703 -.0500 .5220 .0851 .6698 .1737 .4507 -.1398 -.0030 -.2717 .5330 -.4357 -.0711 -.4568 .7339 -.3740 -.0222 -.2143 -.2437 .0626 -.3385 -.5703 1.0000 .0107 -.3512 .2019 -.3217 .1547 -.3650 .1408 .2882 .6431 -.3993 .6773 -.2854 .5728 .0423 -.3721 -.4550 .0231 .3253 .5357 -.3537 -.0500 .0107 1.0000 -.0983 -.3346 -.1145 -.0806 -.3821 .4036 -.0717 .0673 .0260 -.1479 .0854 .1899 -.5414 .7896 .3196 .0008 .1077 -.0599 .8026 .5220 -.3512 -.0983 1.0000 .1878 .5304 .4635 .6293 -.3939 .4020 -.0482 .3353 -.3411 .3286 -.1613 -.0151 .4254 .8749 -.1096 -.4049 -.0317 .3294 .0851 .2019 -.3346 .1878 1.0000 .3330 .7061 .3051 -.2701 .6445 .5944 -.1225 .5631 .6488 .4106 -.4399 .6562 .4305 -.0099 .2700 .3134 .6640 .6698 -.3217 -.1145 .5304 .3330 1.0000 .5227 .6436 -.2538 .4308 -.0185 .4477 -.2700 .2360 .0589 -.0934 .4957 .5109 -.2110 -.1493 .1213 .4613 .1737 .1547 -.0806 .4635 .7061 .5227 1.0000 .4137 -.3301 .8695 .5125 -.0032 .2268 .3189 .2356 -.4358 .8345 .3621 -.1202 -.0349 -.0641 .8980 .4507 -.3650 -.3821 .6293 .3051 .6436 .4137 1.0000 -.5457 .3402 -.2085 .2575 -.3281 -.0792 -.0462 .0800 -.4697 -.2547 .6881 .5681 .5051 -.4657 -.1398 .1408 .4036 -.3939 -.2701 -.2538 -.3301 -.5457 1.0000 -.3305 .2757 .3686 -.0230 .0804 -.1020 .0415 .4280 .4799 -.3862 -.2683 .1658 .3735 -.0030 .2882 -.0717 .4020 .6445 .4308 .8695 .3402 -.3305 1.0000 .5671 -.1319 .3602 .0267 -.3146 .3362 -.0707 .3973 .0502 -.1376 .2390 -.1086 -.2717 .6431 .0673 -.0482 .5944 -.0185 .5125 -.2085 .2757 .5671 1.0000 -.1638 .6519 .4013 .3183 -.4836 .4088 .0873 .6138 .8250 .2369 .3855 .5330 -.3993 .0260 .3353 -.1225 .4477 -.0032 .2575 .3686 -.1319 -.1638 1.0000 -.5148 -.0678 -.5232 .6310 -.2242 .4043 -.3370 -.5371 -.1081 -.2958 -.4357 .6773 -.1479 -.3411 .5631 -.2700 .2268 -.3281 -.0230 .3602 .6519 -.5148 1.0000 Within-group Standard Deviations and Correlations Standard Deviations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 3.4712 1.6144 1.8230 3.6502 3.2716 3.2944 2.5354 2.6934 3.3445 2.0237 2.0205 1.5169 3.4267 3.3434 2.6715 3.4754 2.9912 3.1251 3.0588 3.2168 2.5343 2.5767 Correlations 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1.0000 .0761 .1586 .1058 .5207 .1015 .2749 .2816 .1593 -.0391 .1580 -.4431 -.1142 .4939 .6114 .3685 .1352 .0199 .2592 .2909 .3728 .2475 .0761 1.0000 -.0875 .1591 -.0500 -.1305 .2138 .0520 .1078 .3814 -.2742 .4505 .1625 -.0398 .2993 .1673 .2812 -.1822 .0333 -.1680 .0660 -.1757 .1586 -.0875 1.0000 -.1824 -.0464 -.1956 .0092 .0605 -.1527 -.2086 .5454 .2453 -.2611 .0517 -.1335 -.0241 -.2790 .0466 .1040 .2065 -.0889 .6418 .1058 .1591 -.1824 1.0000 .5798 -.1287 -.0377 -.0001 .8970 .5448 -.0107 -.1539 .7042 .4569 .5259 .5388 .7980 -.3836 .5736 .2681 .3470 .0997 .5207 -.0500 -.0464 .5798 1.0000 .1310 -.0715 .1483 .5105 .1539 .1239 -.4514 .2451 .8792 .4981 .5640 .4094 -.1164 .4961 .5725 .2903 .4388 .1015 -.1305 -.1956 -.1287 .1310 1.0000 .4993 -.0263 -.1670 -.1269 -.0022 -.0138 -.2055 .1205 -.1314 -.0404 -.2367 .7622 -.3550 .2973 .4819 -.2040 .2749 .2138 .0092 -.0377 -.0715 .4993 1.0000 .1309 -.0135 .1911 .0258 .1067 .0267 -.2095 .2378 -.0885 -.0144 .5378 -.1773 -.0057 .7766 -.2716 .2816 .0520 .0605 -.0001 .1483 -.0263 .1309 1.0000 .1442 .1832 .1670 -.0100 -.1016 .1657 .3721 .2697 .2241 .2628 .3618 .2000 .2444 .0208 .1593 .1078 -.1527 .8970 .5105 -.1670 -.0135 .1442 1.0000 .4833 .0264 -.1846 .7673 .4102 .5116 .5439 .8942 -.3687 .5476 .2797 .3873 .0521 -.0391 .3814 -.2086 .5448 .1539 -.1269 .1911 .1832 .4833 1.0000 -.2920 .0012 .4780 .0293 .5477 .3093 .4809 -.1908 .2379 -.0794 .2446 -.1862 .1580 -.2742 .5454 -.0107 .1239 -.0022 .0258 .1670 .0264 -.2920 1.0000 .1730 -.0531 .2888 -.0288 .2368 -.0750 .1581 .3416 .6222 .1248 .5517 -.4431 .4505 .2453 -.1539 -.4514 -.0138 .1067 -.0100 -.1846 .0012 .1730 1.0000 .0359 -.3820 -.3086 -.1747 -.1531 .1880 -.1590 -.0571 -.1247 .0164 -.1142 .1625 -.2611 .7042 .2451 -.2055 .0267 -.1016 .7673 .4780 -.0531 .0359 1.0000 .0788 .3646 .3572 .7327 -.4319 .4055 .1006 .2083 -.1529 .4939 -.0398 .0517 .4569 .8792 .1205 -.2095 .1657 .4102 .0293 .2888 -.3820 .0788 1.0000 .3468 .6650 .3541 -.0969 .4830 .7290 .1415 .5276 .6114 .2993 -.1335 .5259 .4981 -.1314 .2378 .3721 .5116 .5477 -.0288 -.3086 .3646 .3468 1.0000 .5693 .5709 -.2394 .5661 .1302 .3823 .0273 .3685 .1673 -.0241 .5388 .5640 -.0404 -.0885 .2697 .5439 .3093 .2368 -.1747 .3572 .6650 .5693 1.0000 .6091 -.2289 .7481 .5824 .1485 .2101 .1352 .2812 -.2790 .7980 .4094 -.2367 -.0144 .2241 .8942 .4809 -.0750 -.1531 .7327 .3541 .5709 .6091 1.0000 -.4422 .6141 .1932 .2724 -.1093 .0199 -.1822 .0466 -.3836 -.1164 .7622 .5378 .2628 -.3687 -.1908 .1581 .1880 -.4319 -.0969 -.2394 -.2289 -.4422 1.0000 -.3657 .2399 .4625 -.0545 .2592 .0333 .1040 .5736 .4961 -.3550 -.1773 .3618 .5476 .2379 .3416 -.1590 .4055 .4830 .5661 .7481 .6141 -.3657 1.0000 .3752 .0806 .2626 .2909 -.1680 .2065 .2681 .5725 .2973 -.0057 .2000 .2797 -.0794 .6222 -.0571 .1006 .7290 .1302 .5824 .1932 .2399 .3752 1.0000 .2128 .5150 .3728 .0660 -.0889 .3470 .2903 .4819 .7766 .2444 .3873 .2446 .1248 -.1247 .2083 .1415 .3823 .1485 .2724 .4625 .0806 .2128 1.0000 -.1216 .2475 -.1757 .6418 .0997 .4388 -.2040 -.2716 .0208 .0521 -.1862 .5517 .0164 -.1529 .5276 .0273 .2101 -.1093 -.0545 .2626 .5150 -.1216 1.0000 Means Type Lambda 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 1 .1150 49.1538 45.4615 49.3077 54.8462 53.1538 51.9231 46.7692 51.4615 54.2308 51.9231 50.4615 47.3077 54.8462 53.0769 49.0769 53.2308 52.0000 49.0000 52.9231 49.3846 48.0000 51.1538 2 .0619 57.5714 51.1429 50.0000 51.4286 55.2857 55.4286 52.5714 51.8571 49.7143 59.8571 49.5714 48.0000 49.0000 55.1429 51.5714 50.8571 48.1429 53.7143 49.1429 52.0000 53.1429 52.4286 3 .0796 48.6667 46.6667 50.2222 51.5556 50.2222 53.3333 50.6667 49.2222 48.3333 50.4444 49.7778 48.0000 47.7778 50.2222 47.6667 48.8889 49.1111 52.3333 50.2222 48.7778 53.6667 50.7778 4 .0088 48.0000 63.0000 45.0000 46.0000 45.0000 45.0000 54.0000 45.0000 47.0000 53.0000 44.0000 53.0000 52.0000 45.0000 48.0000 55.0000 52.0000 42.0000 53.0000 44.0000 50.0000 43.0000 5 .0796 46.2222 42.7778 54.5556 42.3333 54.8889 47.2222 39.5556 47.6667 41.2222 47.2222 54.0000 47.4444 42.3333 56.6667 43.4444 48.8889 42.0000 49.7778 51.2222 53.8889 40.5556 60.8889 6 .0796 45.7777 43.3334 53.4443 45.7780 50.5557 54.2222 48.2221 51.7777 45.2223 47.4445 53.5554 48.5556 47.2223 52.1113 43.0001 48.4447 44.8890 56.9998 52.2224 57.5557 46.7776 56.0000 7 .0265 49.3333 50.0000 50.0000 55.0000 59.3333 50.0000 44.0000 51.3333 50.3333 54.6667 49.6667 50.3333 52.6667 63.0000 49.3333 55.3333 51.0000 48.6667 56.6667 53.3333 47.3333 56.6667 8 .0796 47.4443 44.5557 51.3333 52.7779 56.9999 49.5553 44.0000 52.1112 49.6671 50.0002 52.0000 48.8889 50.5561 59.2221 48.7780 57.4444 49.3336 50.1110 61.0001 59.5555 45.8890 57.4443 9 .0531 52.1676 48.1677 51.8340 53.6647 53.4998 49.0006 47.5020 55.6702 52.8315 53.6667 52.3337 49.6679 53.4976 57.3321 56.1675 60.8332 51.4991 50.3353 61.6662 58.9992 47.8343 54.1663 10 .0442 47.8000 46.2000 54.8000 51.0000 54.6000 46.8000 45.4000 53.2000 49.0000 48.0000 56.2000 50.0000 50.0000 63.0000 48.4000 68.6000 49.8000 49.2000 65.4000 59.8000 45.0000 59.8000 11 .0265 46.0000 45.0000 64.0000 42.3333 44.3333 45.3333 44.0000 46.3333 45.0000 47.6667 53.6667 50.3333 42.0000 47.0000 41.6667 45.6667 44.6667 48.0000 48.0000 48.0000 41.3333 54.0000 12 .0531 50.6667 44.6667 58.8333 43.3333 50.5000 47.6667 44.0000 50.5000 43.6667 45.5000 62.6667 48.0000 43.1667 54.1667 44.6667 52.3333 44.6667 50.1667 55.1667 59.0000 41.3333 59.3333 13 .0442 49.6000 60.0000 47.6000 47.8000 48.6000 51.0000 48.4000 57.2000 47.4000 52.0000 48.4000 57.8000 49.6000 50.8000 49.6000 51.0000 49.0000 52.2000 51.4000 49.6000 47.2000 48.6000 14 .1416 48.3118 48.3121 53.3125 44.6244 50.0621 51.5002 50.4998 61.6247 45.3120 49.5619 52.9375 53.1250 44.9369 51.6872 48.3111 49.7485 45.6869 56.7503 51.8738 54.3746 48.2497 53.8126 15 .1062 52.3333 47.7500 50.8333 56.5000 55.0000 49.1667 44.3333 50.0000 55.8333 52.0833 50.1667 44.6667 49.3333 57.0833 51.9167 53.0000 61.6667 46.2500 54.0000 49.5833 46.5833 53.0833 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Functions 1 2 3 4 5 6 7 8 9 10 11 12 13 14 Variable 1 -.1342 -.2808 -.0800 -.1514 .0295 .1008 .0594 -.0858 .0609 -.0161 .1196 -.1435 -.1732 -.2538 Variable 2 -.0655 -.4832 .5286 -.2467 .2663 -.5064 .2407 .2962 -.2321 .0691 .0723 -.1460 .3609 .1793 Variable 3 -.2692 .3963 .1677 .1608 -.3758 -.0518 -.2219 .1181 .4895 -.0426 .1769 -.2814 .1070 .1896 Variable 4 -.1100 .1334 .0974 .1419 .2884 .2963 .0785 .1391 -.1052 -.1134 -.0344 -.4796 -.1178 -.0739 Variable 5 -.3512 -.0584 .3358 -.1992 -.2913 .1363 -.2044 .0162 -.2800 .1704 .0090 .3614 -.3439 -.0584 Variable 6 -.0110 -.1725 -.0610 -.0037 .0857 .0440 .1832 -.0073 .0080 .0940 .0095 -.0832 -.1326 -.0264 Variable 7 .3088 .2700 .2319 -.0024 .4171 .0849 .1950 -.0072 -.0255 -.3505 .2656 .4096 -.1392 .2270 Variable 8 .1978 .0169 .2031 .1078 .1946 .3189 .0397 -.0315 -.1561 -.1266 .0024 -.0549 -.0754 .1032 Variable 9 .4965 -.0703 .4012 -.2108 .1973 -.2444 .1777 -.0163 .4184 .3727 .0925 .5723 .0468 -.1510 Variable 10 -.2598 -.4419 -.2771 -.4254 -.2468 .0577 -.0046 -.2990 .2039 -.2192 .0579 .1052 -.2075 -.0746 Variable 11 -.5893 -.1267 .5569 -.3552 .3923 .0195 -.1751 -.0778 -.2047 -.0953 -.3387 -.1269 -.1061 .0693 Variable 12 .4657 -.0379 -.3005 .4130 -.5462 .1554 -.5139 -.3820 .1927 .1098 -.0302 .0428 -.5631 -.3635 Variable 13 .0653 .0471 -.0555 -.0979 .2737 .0849 -.0608 -.0970 -.0197 .0305 .1188 -.3048 .2815 .2667 Variable 14 .3542 .2218 -.2696 .2444 .2613 -.1687 -.3271 -.3921 .3433 -.2390 .0893 -.3112 .2660 .4006 Variable 15 .1841 .3492 .0581 .4009 -.1628 -.1767 .0294 -.1470 .2582 .2255 -.5025 .0254 .3648 .1507 Variable 16 -.0537 .1523 .0962 -.0918 .2760 .0999 -.3202 .2317 -.0804 -.0899 -.0608 .1961 .0424 -.2848 Variable 17 -.9270 -.0218 -.2637 .3962 -.2952 -.0256 -.0197 -.1500 -.2769 -.2582 .1117 -.0365 -.1215 -.0688 Variable 18 -.3308 .1302 .1651 -.0583 .2416 -.1713 -.0229 -.2218 .0441 .0242 .1875 -.1846 .4489 -.2006 Variable 19 .3043 -.1476 -.2923 -.1429 -.0835 -.3367 .3211 -.0165 .0661 .0608 .1895 -.0548 -.1809 .0298 Variable 20 .2447 -.0201 -.0791 .0239 -.5258 -.0949 .4836 .1558 .0326 .0505 -.0587 .0560 -.0942 .0157 Variable 21 .1169 -.2275 -.6046 .1481 -.5975 .0781 -.3351 .3762 -.0834 -.0378 -.3168 -.2151 .0503 .0224 Variable 22 .0248 -.1435 -.2933 -.0497 .2580 .0613 .2023 -.0582 -.4015 -.0957 .0430 .1349 .1792 -.1767 Eigenvalues of B/W= 21.0512 9.3409 6.1839 4.5771 4.1000 3.3889 2.5174 2.4411 2.2354 1.2301 Eigenvalues of B/W= .8242 .5758 .3200 .1155 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 1 ACCOUNTANT 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 2 ADVERTISING MEN 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 3 AIR FORCE OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 4 ANIMAL HUSBANDRY PROF. 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 5 ANTHROPOLOGIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 6 ARMY OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 7 ARCHITECT 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 8 ARTIST 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 9 ASTRONAUT 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 10 AUTHORS 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 11 BANKER(34) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 12 BANKER(64) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 13 BIOLOGIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 14 BUS.ED.TEACHER 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 15 CARPENTER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 16 CPA(44) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 17 CPA(65) 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 18 CHAM COMM EXEC 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 19 CHEMIST 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 20 COMM REC DIRECTOR 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 21 COMPUTER PROGRAMMER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 22 CORP PRES(35) 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 23 CORP PRES(65) 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 24 CREDIT MANAGER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 25 DANFORTH FELLOW 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 26 DENTIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 27 ECONOMIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 28 ELEM TEACHER 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 29 ENGINEER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 30 FARMER(36) 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 31 FARMER(67) 4 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 32 FOREST SERVICE MEN 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 33 FUNERAL DIRECTOR 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 34 GENERALS AND ADMIRALS 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 35 GOVERNOR 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 36 GUIDANCE COUNSELOR 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 37 INTERIOR DECORATOR 11 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 38 JUDGE 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 39 LAWYER(27) 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 40 LAWYER(49) 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 41 LEGISLATOR 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 42 LIBRARIAN 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 43 MATHEMATICIAN 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 44 MATH-SCIENCE TEACHER 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 45 MCKNIGHT FELLOW 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 46 MINISTER(27) 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 47 MINISTER(65) 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 48 MPLS.SYMPHONY 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 49 MUSICIAN 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 50 MUSIC TEACHER 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 51 NIAL MEMBER 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 52 NAVY OFFICER 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 53 NEWSMEN 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 54 OFFICE WORKER 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 55 OPTOMETRIST 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 56 OSTEOPATH 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 57 PERSONNEL DIRECTOR 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 58 PETROLEUM ENGINEER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 59 PHARMICIST 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 60 PHOTOGRAPHER 12 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 61 PHYSICAL THERAPIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .002 .000 .000 .000 .000 .998 .000 62 PHYSICIAN(27) 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 63 PHYSICIAN(49) 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 64 INTERNIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 65 NEUROLOGICAL SURGEON 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 66 ORTHOPEDIC SURGEON 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 67 PATHOLOGIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 68 PEDIATRICIAN 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 69 PHYSIATRIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 70 PSYCHIATRIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 71 RADIOLOGIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 72 SURGEON 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 73 UROLOGIST 14 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 74 PHYSICIST(27) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 75 PHYSICIST(67) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 76 PILOT 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 77 POLICEMEN 2 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 78 POLITICAL SCIENTIST 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 79 PRIEST 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 80 PRINTER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 81 PRODUCTION MANAGER 3 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 82 PSYCHOLOGIST(31) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 83 PSYCHOLOGIST(47) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 84 PSYCHOLOGIST(49) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 85 PSYCHOLOGIST(EXP) 6 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 86 PUBLIC ADMIN 7 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 87 PULITZER PRIZE 5 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 88 PURCH AGENT 1 1.000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 89 REHAP COUNSELOR 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 90 SALESMEN,AUTO 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 91 SALESMEN,COMPUTER 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 92 SALESMEN,ENCYCLOPEDIA 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 93 SALESMEN,LIFE(31) 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 94 SALESMEN,LIFE(66) 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 95 SALESMEN,3M 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 96 SALESMEN,3M APPLICANTS 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 97 SALESMEN,PG&E 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 98 SALESMEN,REAL ESTATE 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 99 SALESMEN,STEEL 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 100 SALES MANAGER 15 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 101 SCHOOL SUPER(30) 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 102 SCHOOL SUPER(65) 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 103 SOC SCI TEACHER 9 .000 .000 .000 .000 .000 .000 .000 .001 .999 .000 .000 .000 .000 .000 .000 104 SOCIAL WORKER(53) 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 105 SOCIAL WORKER(67) 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 106 SOCIOLOGIST 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 107 STUDENT PERSONNEL 8 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 .000 108 UNITARIAN MINISTER 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 109 VET(49) 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 110 VET(66) 13 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Membership Probabilities 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 111 YMCA PD 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 112 YMCA SEC 10 .000 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 113 YMCA STAFF 9 .000 .000 .000 .000 .000 .000 .000 .000 1.000 .000 .000 .000 .000 .000 .000 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 1 ACCOUNTANT 1 -.58 .63 -.20 -.83 3.52 3.53 -.72 .52 2 ADVERTISING MEN 15 -9.16 1.49 .20 .35 -.35 -.56 1.04 -.74 3 AIR FORCE OFFICER 2 -2.49 -5.29 -3.59 -3.28 .38 1.87 1.73 -.68 4 ANIMAL HUSBANDRY PROF. 13 7.40 -5.86 3.61 2.29 -.27 -3.74 -1.63 -1.76 5 ANTHROPOLOGIST 5 -1.55 .84 1.06 -2.41 -4.29 -.99 -.55 -.41 6 ARMY OFFICER 2 -.70 -9.11 -.82 -5.45 -.54 1.87 1.15 -1.04 7 ARCHITECT 11 -4.68 4.05 2.26 .20 -5.91 .21 -3.08 2.56 8 ARTIST 11 -5.12 3.77 4.68 .36 -5.82 -1.81 -3.57 1.15 9 ASTRONAUT 2 -1.39 -7.76 -.83 -3.28 -.54 1.07 -.51 -1.77 10 AUTHORS 5 -2.34 1.54 -2.44 -1.38 -1.90 .14 -2.07 -1.39 11 BANKER(34) 1 -.87 -.68 .35 -.58 4.97 1.52 -2.47 .82 12 BANKER(64) 1 .02 -.37 .01 -1.71 5.79 1.72 .05 1.67 13 BIOLOGIST 14 3.58 -.50 4.38 -.06 -.82 .40 -.30 -1.46 14 BUS.ED.TEACHER 6 .20 .77 -1.09 .32 .60 -.38 4.22 .53 15 CARPENTER 3 .83 -1.50 -2.33 .92 -2.26 .80 -.47 5.17 16 CPA(44) 1 1.02 -2.50 .34 -1.95 2.85 2.34 1.03 .35 17 CPA(65) 1 .66 .60 -1.00 -.78 2.66 3.23 .03 .08 18 CHAM COMM EXEC 1 -2.22 .48 -1.09 -.79 3.80 1.31 -1.79 -.54 19 CHEMIST 3 .71 -1.42 -2.00 1.62 -2.21 2.56 .30 2.35 20 COMM REC DIRECTOR 9 6.83 .03 -.45 1.63 -.06 -2.15 .48 -1.38 21 COMPUTER PROGRAMMER 1 .17 .79 1.35 -.92 2.36 2.19 .62 1.15 22 CORP PRES(35) 3 -3.12 -.03 -2.78 2.87 -1.66 1.50 -.67 4.58 23 CORP PRES(65) 3 -1.58 -.74 -2.07 3.49 -.74 .71 -.28 3.44 24 CREDIT MANAGER 1 -.75 .04 1.27 -.04 4.10 1.83 -.24 -.70 25 DANFORTH FELLOW 12 -3.16 3.79 3.06 -4.48 2.92 -2.57 1.24 -.73 26 DENTIST 14 4.04 2.39 3.95 3.83 -1.41 3.45 -1.70 -.74 27 ECONOMIST 5 -2.43 2.29 -.73 -2.72 -.57 .74 -1.76 -.07 28 ELEM TEACHER 9 4.73 1.25 .35 -.54 -.56 -2.24 4.00 -.70 29 ENGINEER 3 -2.42 -1.42 -3.02 -.52 -1.76 2.31 -1.55 3.53 30 FARMER(36) 13 4.50 -7.89 3.01 1.29 -.08 -4.13 -2.23 .35 31 FARMER(67) 4 4.74 -9.12 .66 -1.29 -.65 -6.54 -.08 7.98 32 FOREST SERVICE MEN 13 4.97 -6.52 3.75 1.64 1.11 -1.88 .23 -.10 33 FUNERAL DIRECTOR 1 -.42 -.78 .79 .77 4.81 .61 -2.22 1.58 34 GENERALS AND ADMIRALS 2 -.34 -7.32 -1.25 -4.86 -2.48 .19 -.93 -2.92 35 GOVERNOR 7 1.88 -2.39 -3.79 -.54 1.54 -1.80 -3.28 -5.59 36 GUIDANCE COUNSELOR 8 5.15 2.30 -3.84 1.73 -1.37 -1.38 3.07 -.25 37 INTERIOR DECORATOR 11 -4.42 4.75 3.66 -.70 -3.38 -.73 -2.83 2.26 38 JUDGE 5 -1.38 3.15 -1.02 -2.39 -2.42 .75 -2.91 -2.60 39 LAWYER(27) 5 -1.62 -.29 -2.03 -2.68 -1.24 .15 -1.19 -2.87 40 LAWYER(49) 8 2.77 -.63 -5.07 -.46 -2.37 -.13 -1.51 -.70 41 LEGISLATOR 7 -.18 -2.66 -5.42 .82 -.30 -2.06 -2.86 -2.70 42 LIBRARIAN 6 1.46 2.96 -.35 -3.78 .60 .57 1.91 1.15 43 MATHEMATICIAN 6 .35 2.03 -.94 -2.40 -1.33 -.01 4.13 2.26 44 MATH-SCIENCE TEACHER 9 5.44 1.54 -.87 1.60 .27 .25 2.81 -.99 45 MCKNIGHT FELLOW 12 -6.32 2.78 7.46 -4.56 -.25 -2.18 -.78 -.21 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 46 MINISTER(27) 10 6.12 5.09 -1.05 -.38 5.59 -3.27 -3.27 .68 47 MINISTER(65) 10 4.44 5.14 -3.21 -1.67 4.41 -2.94 -1.92 .64 48 MPLS.SYMPHONY 12 -3.22 3.52 6.28 -3.42 -.67 -.69 .57 1.67 49 MUSICIAN 12 -6.35 2.10 6.98 -3.27 .79 -1.29 1.06 1.52 50 MUSIC TEACHER 12 -4.78 1.77 5.06 -5.12 2.10 -2.30 3.03 .91 51 NIAL MEMBER 5 -2.91 2.67 .27 -2.34 -3.09 -1.24 -2.89 -.54 52 NAVY OFFICER 2 -.72 -5.09 -1.35 -3.59 .36 2.76 .64 .28 53 NEWSMEN 5 -2.95 1.04 -.42 -3.08 -.22 -.73 -.94 -2.54 54 OFFICE WORKER 1 -3.78 -.45 .90 -1.31 4.14 2.92 -.31 .09 55 OPTOMETRIST 1 1.29 .34 1.09 -.71 2.94 3.18 .27 -1.40 56 OSTEOPATH 14 4.10 -.90 2.80 2.01 .33 1.52 -1.59 -2.44 57 PERSONNEL DIRECTOR 3 -.65 .13 -2.47 1.08 -2.45 2.67 -1.45 2.26 58 PETROLEUM ENGINEER 3 -.25 -3.48 -2.50 1.04 -.02 1.99 -.58 2.89 59 PHARMICIST 1 -.54 .13 2.61 1.77 4.19 3.13 1.44 -1.77 60 PHOTOGRAPHER 12 -5.11 .31 3.65 -3.33 -1.31 -1.54 1.94 1.76 61 PHYSICAL THERAPIST 14 5.76 .69 2.33 2.33 -1.03 -.73 .44 -.97 62 PHYSICIAN(27) 14 3.79 .46 2.20 1.62 -2.43 1.83 .58 -.99 63 PHYSICIAN(49) 14 3.55 .35 2.43 1.45 -.66 2.52 -.22 -1.06 64 INTERNIST 14 4.22 1.59 1.56 1.69 -1.47 1.22 1.49 -1.82 65 NEUROLOGICAL SURGEON 14 4.16 1.23 1.30 3.28 -2.60 2.06 -.05 .10 66 ORTHOPEDIC SURGEON 14 4.83 -.40 3.13 3.04 -2.49 1.07 -1.37 .23 67 PATHOLOGIST 14 3.69 1.23 2.35 1.15 -1.93 2.29 .69 -1.05 68 PEDIATRICIAN 14 5.13 1.87 3.39 1.93 .43 1.52 .98 -.38 69 PHYSIATRIST 14 3.43 1.71 3.59 1.27 .20 1.53 -.70 -1.10 70 PSYCHIATRIST 14 3.01 1.05 .96 1.00 -2.43 1.94 1.20 -1.88 71 RADIOLOGIST 14 5.00 .58 3.56 2.62 .70 2.79 -1.31 .25 72 SURGEON 14 4.67 .07 3.23 2.98 -1.70 2.31 .63 -.58 73 UROLOGIST 14 5.24 .48 3.78 3.08 .50 1.99 -1.56 -1.09 74 PHYSICIST(27) 6 .48 2.32 -.15 -1.51 -.41 .36 3.11 3.19 75 PHYSICIST(67) 6 -.25 2.30 .02 -1.08 .45 .54 2.28 .40 76 PILOT 2 -1.86 -8.56 .24 -3.33 -.59 -.10 .93 1.31 77 POLICEMEN 2 -.93 -6.59 -1.59 -4.23 -1.52 .86 -.29 -2.10 78 POLITICAL SCIENTIST 5 -2.00 2.39 -3.71 -4.11 -2.66 -.57 -2.99 -1.57 79 PRIEST 10 3.60 4.28 -.71 -2.37 3.63 -1.84 -2.65 .91 80 PRINTER 3 .67 .49 -2.95 -.10 .33 1.53 -.98 2.17 81 PRODUCTION MANAGER 3 -1.16 -.98 -4.17 2.08 -1.53 3.39 -1.77 4.61 82 PSYCHOLOGIST(31) 6 .27 1.89 .65 -.52 -1.67 2.24 2.49 -1.26 83 PSYCHOLOGIST(47) 6 .85 2.21 -1.09 -.65 -.77 .77 3.20 -1.29 84 PSYCHOLOGIST(49) 6 2.07 1.71 -.69 -.07 -1.02 1.30 2.17 .57 85 PSYCHOLOGIST(EXP) 6 1.23 1.16 1.17 -1.45 -.25 2.68 2.70 -.21 86 PUBLIC ADMIN 7 3.08 -2.63 -2.56 -.93 .12 1.22 -3.04 -.79 87 PULITZER PRIZE 5 -2.94 4.59 -.75 -1.57 -3.39 -.30 -3.32 -1.90 88 PURCH AGENT 1 -1.69 .51 -.38 .34 3.63 2.48 -1.37 1.81 89 REHAP COUNSELOR 8 4.05 .73 -4.97 -.14 -2.04 -.06 2.10 -.01 90 SALESMEN,AUTO 15 -11.64 -.50 .09 3.13 1.04 -.01 1.50 -.64 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Seq.# ID Cluster Discriminant Scores 1 2 3 4 5 6 7 8 91 SALESMEN,COMPUTER 15 -11.71 -3.13 -1.22 2.91 1.13 .78 .86 -1.61 92 SALESMEN,ENCYCLOPEDIA 15 -8.97 -1.25 -.74 3.27 .64 -4.78 .70 -.78 93 SALESMEN,LIFE(31) 15 -9.71 .07 -1.24 4.38 -.21 -2.36 -.21 -1.65 94 SALESMEN,LIFE(66) 15 -10.38 -.40 1.11 3.36 -.52 -3.41 .23 -1.54 95 SALESMEN,3M 15 -10.38 .57 -1.08 3.31 1.23 -2.31 2.22 -.98 96 SALESMEN,3M APPLICANTS 15 -12.19 .16 -.48 3.64 1.00 -1.23 2.42 -1.26 97 SALESMEN,PG&E 15 -9.74 -1.94 -.69 3.89 .16 -1.15 .91 -.84 98 SALESMEN,REAL ESTATE 15 -8.97 -1.42 -.20 2.85 .44 -.46 -.11 -.40 99 SALESMEN,STEEL 15 -8.03 -2.02 -2.03 3.22 .98 -.45 -.46 .19 100 SALES MANAGER 15 -8.17 -.42 -1.93 4.45 1.77 .57 -.30 .49 101 SCHOOL SUPER(30) 8 3.68 2.43 -2.10 1.01 -1.15 -1.40 3.63 -.35 102 SCHOOL SUPER(65) 8 3.44 1.14 -4.16 1.77 -.03 .23 1.78 -2.63 103 SOC SCI TEACHER 9 5.49 1.53 -2.61 .57 -1.30 -3.39 2.81 -.85 104 SOCIAL WORKER(53) 8 3.91 2.73 -3.23 -.26 -.88 -1.95 -.20 .83 105 SOCIAL WORKER(67) 8 5.48 2.25 -3.88 -.05 -2.17 -2.72 2.57 .02 106 SOCIOLOGIST 8 2.83 2.97 -2.45 -2.08 -.76 -1.34 .21 -.44 107 STUDENT PERSONNEL 8 4.39 2.20 -2.78 -1.88 -.92 .06 1.17 -.18 108 UNITARIAN MINISTER 10 4.62 5.49 -2.14 .17 1.94 -3.06 -3.12 .44 109 VET(49) 13 5.90 -7.57 4.98 2.54 .45 -3.08 -.06 .27 110 VET(66) 13 6.18 -8.42 3.89 1.14 -.12 -2.24 -.69 .25 111 YMCA PD 9 5.22 .64 -1.46 .95 .96 -3.39 1.35 -1.31 112 YMCA SEC 10 4.63 4.30 -2.04 1.93 5.71 -3.58 -2.28 1.52 113 YMCA STAFF 9 5.29 2.01 -1.61 -.01 1.34 -2.88 1.82 1.49 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 1 Seq# ID Seq# ID Seq# ID 1 ACCOUNTANT 11 BANKER(34) 12 BANKER(64) 16 CPA(44) 17 CPA(65) 18 CHAM COMM EXEC 21 COMPUTER PROGRAMMER 24 CREDIT MANAGER 33 FUNERAL DIRECTOR 54 OFFICE WORKER 55 OPTOMETRIST 59 PHARMICIST 88 PURCH AGENT Members of Cluster 2 Seq# ID Seq# ID Seq# ID 3 AIR FORCE OFFICER 6 ARMY OFFICER 9 ASTRONAUT 34 GENERALS AND ADMIRALS 52 NAVY OFFICER 76 PILOT 77 POLICEMEN Members of Cluster 3 Seq# ID Seq# ID Seq# ID 15 CARPENTER 19 CHEMIST 22 CORP PRES(35) 23 CORP PRES(65) 29 ENGINEER 57 PERSONNEL DIRECTOR 58 PETROLEUM ENGINEER 80 PRINTER 81 PRODUCTION MANAGER Members of Cluster 4 Seq# ID Seq# ID Seq# ID 31 FARMER(67) Members of Cluster 5 Seq# ID Seq# ID Seq# ID 5 ANTHROPOLOGIST 10 AUTHORS 27 ECONOMIST 38 JUDGE 39 LAWYER(27) 51 NIAL MEMBER 53 NEWSMEN 78 POLITICAL SCIENTIST 87 PULITZER PRIZE Members of Cluster 6 Seq# ID Seq# ID Seq# ID 14 BUS.ED.TEACHER 42 LIBRARIAN 43 MATHEMATICIAN PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 6 Seq# ID Seq# ID Seq# ID 74 PHYSICIST(27) 75 PHYSICIST(67) 82 PSYCHOLOGIST(31) 83 PSYCHOLOGIST(47) 84 PSYCHOLOGIST(49) 85 PSYCHOLOGIST(EXP) Members of Cluster 7 Seq# ID Seq# ID Seq# ID 35 GOVERNOR 41 LEGISLATOR 86 PUBLIC ADMIN Members of Cluster 8 Seq# ID Seq# ID Seq# ID 36 GUIDANCE COUNSELOR 40 LAWYER(49) 89 REHAP COUNSELOR 101 SCHOOL SUPER(30) 102 SCHOOL SUPER(65) 104 SOCIAL WORKER(53) 105 SOCIAL WORKER(67) 106 SOCIOLOGIST 107 STUDENT PERSONNEL Members of Cluster 9 Seq# ID Seq# ID Seq# ID 20 COMM REC DIRECTOR 28 ELEM TEACHER 44 MATH-SCIENCE TEACHER 103 SOC SCI TEACHER 111 YMCA PD 113 YMCA STAFF Members of Cluster 10 Seq# ID Seq# ID Seq# ID 46 MINISTER(27) 47 MINISTER(65) 79 PRIEST 108 UNITARIAN MINISTER 112 YMCA SEC Members of Cluster 11 Seq# ID Seq# ID Seq# ID 7 ARCHITECT 8 ARTIST 37 INTERIOR DECORATOR Members of Cluster 12 Seq# ID Seq# ID Seq# ID 25 DANFORTH FELLOW 45 MCKNIGHT FELLOW 48 MPLS.SYMPHONY PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Members of Cluster 12 Seq# ID Seq# ID Seq# ID 49 MUSICIAN 50 MUSIC TEACHER 60 PHOTOGRAPHER Members of Cluster 13 Seq# ID Seq# ID Seq# ID 4 ANIMAL HUSBANDRY PROF. 30 FARMER(36) 32 FOREST SERVICE MEN 109 VET(49) 110 VET(66) Members of Cluster 14 Seq# ID Seq# ID Seq# ID 13 BIOLOGIST 26 DENTIST 56 OSTEOPATH 61 PHYSICAL THERAPIST 62 PHYSICIAN(27) 63 PHYSICIAN(49) 64 INTERNIST 65 NEUROLOGICAL SURGEON 66 ORTHOPEDIC SURGEON 67 PATHOLOGIST 68 PEDIATRICIAN 69 PHYSIATRIST 70 PSYCHIATRIST 71 RADIOLOGIST 72 SURGEON 73 UROLOGIST Members of Cluster 15 Seq# ID Seq# ID Seq# ID 2 ADVERTISING MEN 90 SALESMEN,AUTO 91 SALESMEN,COMPUTER 92 SALESMEN,ENCYCLOPEDIA 93 SALESMEN,LIFE(31) 94 SALESMEN,LIFE(66) 95 SALESMEN,3M 96 SALESMEN,3M APPLICANTS 97 SALESMEN,PG&E 98 SALESMEN,REAL ESTATE 99 SALESMEN,STEEL 100 SALES MANAGER PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 2 Number of Types=15 . 7. . . 6. . A . A A 5. B . 5 . B A A 4. B C . C . 5 3. C 6 8 8 . 5 5 8 E . C 5 6 66 6 8 898 2. C 6 6 E E . F 5 E * . 5 6 E 8E E 9 1. 5 16 8 E . F 1 1 1 3 1 EE E 9 .F F C 31 E 9 0. 3 5 .F F F 1 1 8 E E . 3 31 1 E -1. F . F 3 33 . F -2. F . 7 1 7 7 . -3.F . 3 . -4. . . -5. 2 2 . . D -6. . 2 D . -7. 2 . D . 2 2 2 D4 D -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 3 Number of Types=15 . 7. * . . C 6. . . C 5. B D . E . 4. E D E D . C B E EE D . C DEE 3. E . 1 EE . B E E 2. . 1 E . F 5 1 6 E 1. 1 1 E . 1 6 1 4 .F F 5 2 6 1 0. F 1 6 .F 5 1 6 9 . F F 5 5 2 2 6 6 A 9 -1.F F F 1 5 2 6 16 A . 22 * . F -2. F 53 33 8 * . 5 3 3 87 9 . 3 3 8 -3. 3 8 A . 2 . 5 7 8 8 -4. 3 8 . . 8 -5. 8 . 7 . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 4 Number of Types=15 . 7. . . 6. . . 5. . F F . 4. F E .F F 3 .F F F F E E E 3.F F 3 E . E D . 3 E E D 2. 1 8 E A E . 3 EE D 9 9 . 3 3 E8 D D 1. 1 7 3 E 9 . F B 1 9 . B 6 A 0. 1 3 6 E 88 98 . 3 1 6 6 7 8 9 A . B 1 1 1 1 1 7 -1. 1 6 4 . 5 5 6 6 . 1 1 8A -2. 8 . 5 55 6 A . 5 5 -3. C C 5 2 2 2 . C 2 . 6 -4. 5 2 . C C . 2 -5. C . 2 . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 5 Number of Types=15 . 7. . . 6. 1 A . A . 5. 1 1 . A . 1 11 4. 1 . 1 1 A . 3. C 11 . 1 1 . C 2. F A . 7 9 .* F D 1.F F C E 9 . * 2 2 6 6 3 6 EE D . F 7 E E 9 0. F C 5 37 6 8 D D 9 D . F F 5 2 2 2 6 E 4 . C 3 6 8 E 8 8 -1. C 5 6 6 8 9E . 3 32 EE 8 . 35 6 E E -2. 33 8 8 . 5 5 3 2 8 E E E E . -3. 5 . B 5 . -4. 5 . . -5. . . B B -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 6 Number of Types=15 . 7. . . 6. . . 5. . . 4. . 3 1 E . 1 1 1 3. 1 3 6 E . 1 3 1 E . 3 16 E E E 2. 2 1 3 1 E E E . 3 1 3 E E E . 1 2 6 7 E E 1.F 5 35 2 6 . F 16 6 6 E . B 5 5 2 8 8 9 0.F 5 2 6 8 8 . FF F 5 6 . B C 5 5 E -1.F F C 5 . C 8 8 8 . B 7 A 8 D -2. F C C 7 9 D 9 . F C . A 98 -3. A DA . F A 99 . D -4. D . . F -5. . . -6. . 4 . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 7 Number of Types=15 . 7. . . 6. . . 5. . . * 9 4. . 8 . C 6 6 8 3. 6 * .F 6 8 . F 6 6 8 2. C 2 6 8 9 .F 1 E 9 . F C C 2 1 E 8 1.F F F 2 E E . C 2 1 E E E 9 . F 1 3 1 8 D 0. F F F 1 3 21 * 8E 4 D . F 52 3 3 . C 35 12 3 E D -1. 5 E . 3 1 3 8 E E E D . 51 3 E A -2. 5 1 DA . 1 A . B 5 5 5 7 -3. B 5 7 7 A A . B . -4. . . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 8 Number of Types=15 . 7. 4 . . 6. . . 3 5. . 3 3 . 4. . 3 3 . 6 3. 3 . B 3 . B 3 6 3 2. C C 1 1 . C 1 A 9 . B 2 1 6 1. C 1 A 8 A . F 16 6 1 6 AA . F 1 2 1 E * 8 DD 0. C 5 6 88 D8 .F F 5 1 5 8 8 E E . F F FF C 2 1 8 7 E E 9 *E -1.F 2 6 6 *E 9 .F F F 5 5 1 E 9 . 5 2 1 E E D -2. 2 . 5 5 8 E . 5 27 -3. . . -4. . . -5. . 7 . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 1 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 3 Number of Types=15 . 7. C C . . C 6. . . C 5. D B . E . 4. D D E E . D CE EE B . D E E C 3. E . 1E E . EE B 2. . 1 E . F 11 56E 1. 11 E . 4 1 1 9 6 . 2 F1 F 6 5 0. F 1 6 . F 1 5 6 . 2 2 F F 96 65 A5 -1. 2 F F F6 6 5 A . 2 2 9 9 . F -2. F * 3 5 8 A A . 3 7 3 9 8 . 3 3 8 -3. 3 8 A . 2 . 7 8 -4. 3 8 . . 8 -5. 8 . 7 . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 4 Number of Types=15 . 7. . . 6. . . 5. . F F . 4. F E . 3F F . F F FE F E 3. F F 3E . D E . D 3 E 2. 1 8 E E 8 A . D 3 9EE 9 . D D 3 3 E E 8 1. 7 3 1 9 E . 1 9 B . 6 B A 0. E 1 38 6 98 8 . 7 3 8 9 6 6 A . 7 1** B -1. 4 1 6 . 6 5 6 5 . 1 1 8 A -2. 8 . 5 6 5 5 A . 5 5 -3. 2 2 2 C 5 C . 2 C . 6 -4. 2 5 . C C . 2 -5. C . 2 . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 5 Number of Types=15 . 7. . . 6. 1 A . A . 5. * . A . 1 * 4. 1 . 11 A . 3. 1 1 C . 11 . C 2. F A . 7 9 . D F F F 1. F F E9 C . D 22 FF 36 E 6 6 . 7 F E 9E 0. D D D 3 7 F 8 C . 4 2 2 F E 9F 6 . 3E 8 88 C -1. 5 C E 96 6 8 . 2 3 3 E 8 . 3 E E5 6 -2. * 8 8 . 2 8 E 3 E EE 5 5 . -3. 5 . 5B . -4. 5 . . -5. . . B B -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 6 Number of Types=15 . 7. . . 6. . . 5. . . 4. . 3 1 E . 111 3. 2 1 3 E 6 . 1 3 E1 . 3 E 1 * 6 2. 2 2 3 1 1 * E . E1 3 3 EE . 2 7 E 1 E6 1. 2 F 3 3 6 5 . 1F * 6 . 2 5 8 9 8 B 0. 2 8F 8 6 5 . F F 6 F 5 . E55 C B -1. F F C 5 . C 88 8 . D 7 8 B A -2. D 7 9 F 9 C C . F C . 98 A -3. D A A . F 9 9 A . D -4. D . . F -5. . . -6. . 4 . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 7 Number of Types=15 . 7. . . 6. . . 5. . . 6 9 6 4. . 8 . C * 3. 6 * . F 6 8 . F8 6 6 2. 2 C 8 9 6 . F 1 9 E . 2 1 E F C8 C 1. 2 F F F E E . 2 E EE C . D 3 F1 11 8 0. 4 D 2 F 3F FE E 8 . 2 3 F 3 5 . D 2 3 31 5 E C -1. 5 E . D 3 E8 E 3 1 . 3 1 5 A -2. D 1 5 A . 1 A . 7 5 5 5 B -3. 7 7 B 5 A A . B . -4. . . -5. . . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Discriminant Function 8 Number of Types=15 . 7. 4 . . 6. . . 3 5. . 3 3 . 4. . 3 3 . 6 3. 3 . 3 B . 3 3 6 B 2. 1 C1 C . 1 9 A . 2 1 6 B 1. 1 C 8 A A . D 1 F 6 6 6 A A . D D 2 F 1E E E 8 0. D 8 6 * C . F F E 1 5 E 858 . 2 7 F F 8 1 FE 9* E C -1. 2 FEE9 E E6 6 . F F F1 5 5 . 2 D 1 E E 5 -2. 2 . E 8 5 . 2 7 5 -3. . . -4. . . -5. . 7 . -6. . . -7. . . -8.................................................................................................................... -10. -9. -8. -7. -6. -5. -4. -3. -2. -1. 0. 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. Discriminant Function 2 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Logarithm of likelihood ratio of 15 to 14 types= .40477808E+02 Pseudo Chi-square with 44 degrees of freedom= 59.46 "Probability" of null hypothesis= .05979912 PC-NORMIX Version 2.1 Wolfe Normal Mixture Analysis Procedure (January 1995 Revision) Equal Covariance Matrices Within Groups STRONG VOCATIONAL INTEREST BLANK--22 BASIC SCALES FOR 113 OCCUPATIONS 1.ADVEN 2.AGRI 3.ART 4.BUS 5.LAW 6.MATH 7.MECH 8.MED 9.MERCH 10.MILIT 11.MUSIC 12.NATURE 13.OFFICE 14.PUB SPEAK 15.REC 16.RELIG 17.SALES 18.SCIENCE 19.SOCIAL 20.TEACH 21.TECH SUPERVISION 22.WRITING Summary of Likelihood Statistics Types Log Likelihood Chi-square DF "Probability" 13 -2689.2280 14 -2640.6001 71.87 44 .0050 15 -2600.1223 59.46 44 .0598