Posted by
Maguin, Eugene on
Aug 15, 2014; 5:55pm
URL: http://spssx-discussion.165.s1.nabble.com/Multilevel-linear-Model-hierachical-linear-models-repeated-tp5726927p5726991.html
My suggestion is to analyze your data per example 9, which is a repeated measures analysis, in the mixed command documentation. Or, restructure your data to wide format and analyze it using GLM repeated. It sounds like you are interested in picture differences between conditions. Thus your main interest is in the between-within interactions and simple effects for those.
Others may have better suggestions.
Gene Maguin
-----Original Message-----
From: SPSSX(r) Discussion [mailto:
[hidden email]] On Behalf Of LauraE
Sent: Friday, August 15, 2014 11:26 AM
To:
[hidden email]
Subject: Re: Multilevel linear Model (hierachical linear models) - repeated?
Hi,
thanks a lot for your message.
Yes, I am using that Andy Field model as an example, because it explains the steps I have to take very detailed. I am not familar with mixed models at all. I just know that usually, for a normal analysis without hierachy, I would use a repeated measurement ANOVA (factors: A and B, using mean values of the subjects for each condition, e.g. a value for A1B1, A2B1 per subject etc).
So, now I try to use subject ID as the upper level. Every subject sees 25 pictures in each factor level: I have a 2x2 repeated design, so I show 25 pictures in A1B1, 25 pictures in A2B1, 25 in A1B2, 25 in A2B2 to each subject.
The goal of the analysis is to compare A1 versus A2 and B1 versus B2 (main
effects) and their interaction A x B. So I do not know if that requires a repeated subcommand or not, just from a statistical point of view.
yes, I have my data in a long format, with all in all 3300 rows!
I want to make the following post-hoc tests: A1B1 versus A1B2 and A2B1 versus A2B1.
Thanks for your help, and sorry if I didnt specify everything in the first place. I hope its clearer now...
Laura
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