main effect of covariate in Repeated Measures Design

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main effect of covariate in Repeated Measures Design

Sesch
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Re: main effect of covariate in Repeated Measures Design

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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Re: main effect of covariate in Repeated Measures Design

Sesch
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Re: main effect of covariate in Repeated Measures Design

Maguin, Eugene
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!
>
>
>
> --
> View this message in context:
> http://spssx-discussion.1045642.n5.nabble.com/main-effect-of-covariate
> -in-Repeated-Measures-Design-tp5721647.html
> Sent from the SPSSX Discussion mailing list archive at Nabble.com.
>
> =====================
> 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


--
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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