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RE: st: SimpleSlopes in Multilevel Models


From   Cameron McIntosh <cnm100@hotmail.com>
To   STATA LIST <statalist@hsphsun2.harvard.edu>
Subject   RE: st: SimpleSlopes in Multilevel Models
Date   Sun, 5 Feb 2012 09:31:44 -0500

Kerstin, 
If you want to dissect the interaction effects further, yes you would need to estimate and test simple slopes, for which you would need the covariance between the main effect and interaction coefficients as you say. I don't know how to request the ACM in Stata, but tech support should be able to help you. As far as probing an interaction in the multilevel context some key papers are:
Bauer, D. J., & Curran, P. J. (2005). Probing interactions in fixed and multilevel regression: Inferential and graphical techniques. Multivariate Behavioral Research, 40(3), 373-400.http://www.unc.edu/~dbauer/manuscripts/bauer-curran-MBR-2005.pdf ;
Curran, P. J., Bauer, D. J, & Willoughby, M. T. (2006). Testing and probing interactions in hierarchical linear growth models. In C. S. Bergeman & S. M. Boker (Eds.), The Notre Dame Series on Quantitative Methodology, Volume 1: Methodological issues in aging research (pp. 99-129). Mahwah, NJ: Lawrence Erlbaum Associates.

Preacher, K. J., Curran, P. J., & Bauer, D. J. (2006). Computational tools for probing interaction effects in multiple linear regression, multilevel modeling, and latent curve analysis. Journal of Educational and Behavioral Statistics, 31(4), 437-448.http://www.unc.edu/~dbauer/manuscripts/preacher-curran-bauer-2006.pdfhttp://www.people.ku.edu/~preacher/interact/index.html

Davison, M.L., Kwak, N., & Seo, Y.S. (2002). Using Hierarchical Linear Models to Examine Moderator Effects: Person-by-Organization Interactions. Organizational Research Methods, 5(3), 231-254.http://www.personal.psu.edu/jxb14/EDEN/Articles/Davison_ORM_2002.pdf

Bedeian, A.G., Kemery, E.R., & Mossholder, K.W. (1989). Testing for cross-level interactions: An empirical demonstration. Behavioral Science, 34(1), 70–78.

Tate, R.L. (1985). Cross-Level Interaction in Multilevel Models. Journal of Applied Behavioral Science, 21(2), 221-234.  Cam

Cam----------------------------------------
> Date: Sat, 4 Feb 2012 18:50:27 -0500
> Subject: Re: st: SimpleSlopes in Multilevel Models
> From: skolenik@gmail.com
> To: statalist@hsphsun2.harvard.edu
>
> The line with EExPOS shows Wald test for whether this interaction is
> equal to zero. The p-value is 0.043, and you would need to interpret
> it in the context of your substantive problem.
>
> On Sat, Feb 4, 2012 at 6:08 PM, Kerstin Alfes <KAlfes@gmx.de> wrote:
> > Sorry, it's between ZSchaufeli_Short and zpos, Question33 and v_246 are controls for age and gender.
> >
> > Best wishes
> > Kerstin
> >
> > -------- Original-Nachricht --------
> >> Datum: Sat, 4 Feb 2012 17:07:39 -0500
> >> Von: Stas Kolenikov <skolenik@gmail.com>
> >> An: statalist@hsphsun2.harvard.edu
> >> Betreff: Re: st: SimpleSlopes in Multilevel Models
> >
> >> So what is this EExPOS an interaction of?
> >>
> >> On Sat, Feb 4, 2012 at 11:31 AM, Kerstin Alfes <KAlfes@gmx.de> wrote:
> >> > Hello Stas
> >> >
> >> > I am using stata 11.1, this is an example of my syntax
> >> >
> >> > xtmixed logPerformance1 Question33 v_246 ZSchaufeli_Short zpos EExPOS ||
> >> Team: ZSchaufeli_Short zpos, mle variance
> >> >
> >> > This is the output I get and I would like to probe the interaction term
> >> EExPOS further and find out whether the simple slopes are significant.
> >> >
> >> > logPerform~1       Coef.   Std. Err.      z    P>|z|     [95%
> >> Conf. Interval]
> >> >  Question33    .0027937   .0242461     0.12   0.908
> >>  -.0447277    .0503151
> >> >       v_246   -.0003632   .0007304    -0.50   0.619
> >>  -.0017947    .0010683
> >> > ZSchaufeli~t    .0142171   .0112795     1.26   0.208
> >>  -.0078902    .0363244
> >> >        zpos   -.0049291   .0096467    -0.51   0.609
> >>  -.0238363    .0139781
> >> >      EExPOS   -.0141973   .0070321    -2.02   0.043
> >>  -.02798   -.0004145
> >> >       _cons    .7707479   .0306269    25.17   0.000
> >> .7107203    .8307755
> >> >
> >> > Best wishes
> >> > Kerstin
> >> >
> >> > -------- Original-Nachricht --------
> >> >> Datum: Sat, 4 Feb 2012 10:44:49 -0500
> >> >> Von: Stas Kolenikov <skolenik@gmail.com>
> >> >> An: statalist@hsphsun2.harvard.edu
> >> >> Betreff: Re: st: SimpleSlopes in Multilevel Models
> >> >
> >> >> In Stata, the output of every estimation command is accompanied with
> >> >> the default test that this coefficient is equal to zero (which is
> >> >> sensible for most slopes and correlations, although may not be so
> >> >> sensible for variances). Moreover, every coefficient can be tested
> >> >> with -test- command. Its syntax is daunting for a beginner, but you'd
> >> >> start appreciating it very quickly as you move from your MPlus or
> >> >> LISREL or MLWin experience.
> >> >>
> >> >> If you gave an example of your syntax (that's what FAQ very strongly
> >> >> suggests) and your output, we could help with the specific -test-
> >> >> command.
> >> >>
> >> >> On Sat, Feb 4, 2012 at 10:15 AM, Kerstin Alfes <KAlfes@gmx.de> wrote:
> >> >> > Dear All
> >> >> >
> >> >> > I ran a multilevel regression using the xtmixed command in stata.
> >> >> >
> >> >> > I have a significant interaction term between two level 1 variables
> >> and
> >> >> I
> >> >> > would like to test the simple slopes now. It seems that I need the
> >> >> > Asymptotic Covariance Matrix to do this. Does anbody know how to get
> >> the
> >> >> > ACOV in STATA? Or, is there an alternative way to test the
> >> significance
> >> >> of
> >> >> > the simple slopes?
> >> >> >
> >> >> > Many thanks
> >> >> > Kerstin
> >> >> > --
> >> >> > Empfehlen Sie GMX DSL Ihren Freunden und Bekannten und wir
> >> >> > belohnen Sie mit bis zu 50,- Euro!
> >> https://freundschaftswerbung.gmx.de
> >> >> > *
> >> >> > *   For searches and help try:
> >> >> > *   http://www.stata.com/help.cgi?search
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> >> >> > *   http://www.ats.ucla.edu/stat/stata/
> >> >>
> >> >>
> >> >>
> >> >> --
> >> >> Stas Kolenikov, also found at http://stas.kolenikov.name
> >> >> Small print: I use this email account for mailing lists only.
> >> >>
> >> >> *
> >> >> *   For searches and help try:
> >> >> *   http://www.stata.com/help.cgi?search
> >> >> *   http://www.stata.com/support/statalist/faq
> >> >> *   http://www.ats.ucla.edu/stat/stata/
> >> >
> >> > --
> >> > Kerstin Alfes
> >> >
> >> > Kettelerweg 24
> >> > 57482 Wenden
> >> > Germany
> >> > Phone: +49-(0)2762-2766
> >> > Mobile: +49-(0)174-160 15 44
> >> >
> >> > Empfehlen Sie GMX DSL Ihren Freunden und Bekannten und wir
> >> > belohnen Sie mit bis zu 50,- Euro! https://freundschaftswerbung.gmx.de
> >> > *
> >> > *   For searches and help try:
> >> > *   http://www.stata.com/help.cgi?search
> >> > *   http://www.stata.com/support/statalist/faq
> >> > *   http://www.ats.ucla.edu/stat/stata/
> >>
> >>
> >>
> >> --
> >> Stas Kolenikov, also found at http://stas.kolenikov.name
> >> Small print: I use this email account for mailing lists only.
> >>
> >> *
> >> *   For searches and help try:
> >> *   http://www.stata.com/help.cgi?search
> >> *   http://www.stata.com/support/statalist/faq
> >> *   http://www.ats.ucla.edu/stat/stata/
> >
> > --
> > Kerstin Alfes
> >
> > Kettelerweg 24
> > 57482 Wenden
> > Germany
> > Phone: +49-(0)2762-2766
> > Mobile: +49-(0)174-160 15 44
> >
> > Empfehlen Sie GMX DSL Ihren Freunden und Bekannten und wir
> > belohnen Sie mit bis zu 50,- Euro! https://freundschaftswerbung.gmx.de
> > *
> > *   For searches and help try:
> > *   http://www.stata.com/help.cgi?search
> > *   http://www.stata.com/support/statalist/faq
> > *   http://www.ats.ucla.edu/stat/stata/
>
>
>
> --
> Stas Kolenikov, also found at http://stas.kolenikov.name
> Small print: I use this email account for mailing lists only.
>
> *
> * For searches and help try:
> * http://www.stata.com/help.cgi?search
> * http://www.stata.com/support/statalist/faq
> * http://www.ats.ucla.edu/stat/stata/
 		 	   		  
*
*   For searches and help try:
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