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- Message-ID: <PSYCGRAD%92121116290578@ACADVM1.UOTTAWA.CA>
- Newsgroups: bit.listserv.psycgrad
- Date: Fri, 11 Dec 1992 15:27:47 -0800
- Sender: Psychology Graduate Students Discussion Group List
- <PSYCGRAD@UOTTAWA.BITNET>
- From: Tor Neilands <tbn@UTXVM.CC.UTEXAS.EDU>
- Subject: Re: let's hear some opinions
- Lines: 125
-
- Monika writes:
-
- >Tor,
- >I might be wrong, but if you hired an "x" number of undergraduates to run
- >your experiments and maybe an "x" number of others to do the stats, shouldnyt
- >they be present with you at the defence? (No harm intended!)
-
- Actually, these folks aren't hired. They take a course called "Psychology
- 357: Research in Psychology" and receive a grade and 3 units for their work
- (most courses here are 3 units of credit).
-
- I agree with you: They should be able to be present at the defense, but I
- don't think my faculty would be too keen on that idea.
-
- >After all, these people did the hard core tedious work, and you provided the
- >intellectual interpretations...
-
- Actually, we all did hardcore tedious work. I spent over a year writing my
- proposal. I spent a few weeks writing up a script for the actual
- experiments to be run. We all met weekly to discuss what was going on in
- the experimental sessions, and to discuss pilot data. I spent each and
- every minute of data entry with them, in large part doing team data entry
- (one person reading while the other person types) with them--and showing
- them how to use PROC COMPARE in SAS to compare data sets to catch data
- entry errrors, too--this teamwork was educational for all of us.
-
- >In my field you do it all by yourself, or you shouldn`t call yourself a
- >researcher, but then again I never had to run 1000 subjects. How many subjects
- >were you required to run in order to get the "statistically meaningful"
- >results?
-
- We ran about about 185 participants for two studies; each session took
- about an hour to run, individually. I haven't obtained "statistically
- significant" results which are perfectly in line with my hypotheses, but I
- did not "check the data" before running the analyses, nor will I run more
- subjects now that I've done the analyses. In an strictly hypothesis testing
- framework, that would promote capitalizing on chance (if one makes a
- decision on whether to cease running subjects or to continue running s's
- based on the "significance" level of a hyp. test with a current sample).
-
- > Maybe we often throw the baby with the bath watter by adhering to
- >number (the greater N the better) instead of looking at the data the way it
- >is.
-
- What does it mean to say "looking at the data the way it is". My
- understanding of the hypothesis testing framework is that as sample size
- increases, so does the statistical power to reject the null hypothesis.
- Thus, as your N increases, you actually will obtain better parameter
- estimates of population parameters. In this sense, then, if you are
- interested in estimating the "true" population values of parameters, you
- wish to have as large a sample as possible--the larger the sample, the more
- accurate your parameter estimates should be.
-
- Practical significance and statistical significance are not the same concepts.
-
- > Sorry for this babling, but I just came back from a collegues defence,
- >which was fabulous, and she can say in all honesty that it is her thesis and
- >hers only! She is a Dr. now!
-
- That's great. I'm very happy for her. Did she have an advisor? Did she have
- a dissertation committee who provided suggestions to her about what she
- should do during her preliminary orals? Did she talk to friends and/or
- colleagues about her research designs? Did she include an introduction in
- her dissertation write-up? Did that introduction cite previous literature
- on which her own work is in part based? Did her advisor guide her or work
- with her in any way?
-
- I hope to receive my doctorate in may. When I receive it, I'll be happy and
- proud that while I did a lot of work on this project and put a tremendous
- amount of effort into it for the past three years, I haven't gone at it
- alone--I've learned the value of teamwork and give and take with my advisor
- and my committee members; through gleaning suggestions from them my
- proposal became *much* stronger as a result of their input and criticism. I
- also learned the value of educating and working with enthusiastic,
- motivated undergraduates who very much wanted to take advantage of the
- opportunity to do research with me and my advisor. In fact, I had so many
- applicants for the position that I had to turn away more applicants than I
- could accept. And, on a purely pragmatic level, many grad schools require
- that their undergrad applicants have some type of research experience under
- their belts. By providing the undergrads with an opportunity to work with
- us, they not only get that necessary pragmatic credential, they also get to
- "try out" psychological research and see if they like it--and that's an
- important service we can provide to the undergraduate population of
- psychology majors.
- >
- >
- > _
- > ) ( Monika Trzcinska _- o ) ( 054470@ACADVM1.UOTTAWA.CA
- > ) (----------------------- o o ) (----------------------------
- > ) ( -_ o ) (
- > -
- > "The most important attitude that can be formed is that of a desire
- > to go on learning".
- > Dewey (1938)
-
- cheers,
-
- Tor
-
-
- Tor Neilands
- Systems Analyst
- Statistical Services Group
- Computation Center
- University of Texas at Austin
- Austin, TX 78712
-
- Phone: (512)-471-3241, Ext. 263
-
- Internet: TBN@Utxvm.cc.utexas.edu
- ___________________________________________________
-
- "To thy own self be true". --- Walt Whitman
-
- "Two roads diverged in a yellow wood and I, I took
- the road less traveled by, and that has made all the
- difference". --- Robert Frost
- ___________________________________________________
-
- Disclaimer: All of the views expressed above are solely
- those of the author. Any relationship between my own
- views and those of the University of Texas and/or The
- Computation Center at the University of Texas are
- due merely to regression to the mean.
- ____________________________________________________
-