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Re: main effect of covariate in Repeated Measures Design

Posted by Maguin, Eugene on Aug 20, 2013; 1:01pm
URL: http://spssx-discussion.165.s1.nabble.com/main-effect-of-covariate-in-Repeated-Measures-Design-tp5721647p5721657.html

Have you specified the keyword to request the coefficients be printed? It sounds like you haven't and I think that is what you need to see. Look in the documentation for it.
Gene Maguin

-----Original Message-----
From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Silke Eschert
Sent: Tuesday, August 20, 2013 4:11 AM
To: [hidden email]
Subject: Re: main effect of covariate in Repeated Measures Design

Yes yes, that's true of course. But what if there is a significant main effect of the moderator while there is no interaction? How can I learn anything about the direction of that main effect?


Am 19.08.2013 21:04, schrieb Swank, Paul R:

> In the presence of an interaction, the main effect should not be interpreted alone but only in the context of the interaction.
>
> Paul R. Swank, Ph.D., Professor
> Health Promotions and Behavioral Sciences School of Public Health
> University of Texas Health Science Center Houston
> ________________________________________
> From: SPSSX(r) Discussion [[hidden email]] On Behalf Of
> Sesch [[hidden email]]
> Sent: Monday, August 19, 2013 9:36 AM
> To: [hidden email]
> Subject: main effect of covariate in Repeated Measures Design
>
> Hello there,
>
> I've spent a considerable amount of time trying to google this
> particular problem, but I can't seem to find that specific answer I'm
> looking for. So I thought I'd just ask here.
>
> So I'm working with a repeated measures design that also includes a
> continuous moderator. The moderator is entered as a covariate. After I
> found out how to probe the interactions between within factor and
> covariate, I still have problems with interpreting the main effect of
> that covariate. If you get a significant main effect you'd usually
> write a word or two about the direction of that main effect, but I
> don't seem to be able to identify the direction from the "Between Subjects" output.
>
> So what do I do? Should I look at the interactions and try to
> indentify the main effect through that? Is that the right way to do this?
>
> I'll be more than grateful for any helpful comment!
>
>
>
> --
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> -in-Repeated-Measures-Design-tp5721647.html
> Sent from the SPSSX Discussion mailing list archive at Nabble.com.
>
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--
Dipl.-Psych. Silke Eschert
Sozial- und Wirtschaftspsychologie
Schleichstrasse 4
72076 Tübingen
Germany
Tel: +49 7071 29-78336
Fax: +49 7071 29-5899

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=====================
To manage your subscription to SPSSX-L, send a message to
[hidden email] (not to SPSSX-L), with no body text except the
command. To leave the list, send the command
SIGNOFF SPSSX-L
For a list of commands to manage subscriptions, send the command
INFO REFCARD