home *** CD-ROM | disk | FTP | other *** search
- Path: sparky!uunet!cs.utexas.edu!swrinde!sdd.hp.com!nigel.msen.com!yale.edu!yale!gumby!destroyer!ncar!csn!boulder!ucsu!yertle.Colorado.EDU!mcclella
- From: mcclella@yertle.Colorado.EDU (Gary McClelland)
- Newsgroups: sci.math.stat
- Subject: Re: HELP - WITHIN-S ANOVA
- Message-ID: <1992Aug22.214340.10028@ucsu.Colorado.EDU>
- Date: 22 Aug 92 21:43:40 GMT
- References: <1992Aug20.145549.12978@dgbt.doc.ca>
- Sender: news@ucsu.Colorado.EDU (USENET News System)
- Organization: University of Colorado, Boulder
- Lines: 24
- Nntp-Posting-Host: yertle.colorado.edu
-
- ted@dgbt.doc.ca (Ted Grusec) writes:
-
- >My CSS:Statistica (Statsoft) program will not analyze a 2 X 10 X 13
- >within-subject design. It indicates a 252 dependent variable limit,
- >while this experiment has 260. All of this despite a recent update
- >to release 3.1 which I got just days ago,
-
- >Is there any commercial package that will do "large" within-subject
- >designs? Can someone share experiences, make recommendations?
-
- No sympathy from me. With such large within-subject designs the key
- sphericity and homogeneity assumptions are almost surely violated.
- No one should be doing such large within-s analyses. It is much better
- to think of the much smaller degree-of-freedom questions you really want
- to ask of your 260 data values for each subject. Then, any standard
- regression program can be used to answer those specific questions.
- For details, see
-
- Judd, C.M., & McClelland, G.H. (1989). Data Analysis: A Model Comparison
- Approach. HBJ (see especially Chapter 14)
-
- gary mcclelland
- univ of colorado
- mcclella@yertle.colorado.edu
-