Posted by
Maguin, Eugene on
Aug 11, 2014; 3:01pm
URL: http://spssx-discussion.165.s1.nabble.com/Multilevel-linear-Model-hierachical-linear-models-repeated-tp5726927p5726948.html
You're running from the menu it sounds like. Somewhere in there is a button for controlling what is printed. Click on that button and select "Solution". DFs of 3000+ (nearer 3300, I'd bet) sound right because you have 4 condition, 25 cases per condition and 33 subjects. Your data file has 3300 records. In addition to a random intercept, it would be useful to investigate whether the slopes differ across persons.
Your current syntax statement ought to be
Mixed y by a b/fixed a b a*b/print=solution/Random=intercept | subject(id) covtype(id).
You, of course, may have other options specified in the print subcommand.
Ryan Black has posted multiple times on using mixed to analyze repeated measures data. Look at the archives for posts from him. Also note example 9 in the documentation.
Gene Maguin
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of LauraE
Sent: Monday, August 11, 2014 5:51 AM
To:
[hidden email]
Subject: Multilevel linear Model (hierachical linear models) - repeated?
Hi,
based on the study
Miller, G., Tybur, J. M., & Jordan, D. B. (2007). Evolution and Human Behavior, 28, 375–381.
and Andy Fields explanation (Discovering SPSS;
http://www.google.de/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0CCUQFjAA&url=http%3A%2F%2Fwww.sagepub.com%2Ffield4e%2Fstudy%2Flabcoatleni%2Fchapter20.pdf&ei=Io7oU6u0KPHS4QSvr4HgCg&usg=AFQjCNF8NjwWAfHgwAx0An7HmiMg5AljlQ&bvm=bv.72676100,d.d2kI tried to run a multilevel linear model for my own analysis, but I am not sure if it is correct.
I have a 2x2 within subject repeated measurement design. Dependent variable is money bid. Factors are A and B with 2 levels each. Participants see 25 pictures in each factor level (all in all 100 pictures, 25 pictures in A1B1,
25 in A2B1 and so on). Data are balanced, all participants see 25 pictures in each factor level.
Upper level should be subject ID, dependent variable is amount of money bid.
I tried to follow the example of Andy Field, with Analyze--mixed models linear.
subjects: Subject ID; repeated: none (is that correct???) and dependent variable bid with factors A and B. Fixed effects were added (main effect A, main effect B, interaction AxB), ID is added as a random effect (only intercept, because of the assumption that subjects vary in their amount of bid, some bid always little, some bid always higher).
Is this procedure OK or is there something wrong? I get dfs of more than
3000 (but I only have 33 subjects)... or do I have to somehow include somehting in repeated? If so, how?
And how do I get values for each factor level (i.e., values for A1B1, A2B1, A1B2, A2B2) in the table "estimates for fixed effects"?
Thanks a lot!
Laura
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