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Re: RE: st: SimpleSlopes in Multilevel Models


From   "Kerstin Alfes" <KAlfes@gmx.de>
To   statalist@hsphsun2.harvard.edu
Subject   Re: RE: st: SimpleSlopes in Multilevel Models
Date   Tue, 07 Feb 2012 14:04:09 +0100

Hello Cam and Stan

Many thanks for your suggestions! They have been really helpful.

Best wishes
Kerstin

-------- Original-Nachricht --------
> Datum: Sun, 5 Feb 2012 16:35:17 -0500
> Von: Cameron McIntosh <cnm100@hotmail.com>
> An: STATA LIST <statalist@hsphsun2.harvard.edu>
> Betreff: RE: st: SimpleSlopes in Multilevel Models

> If -zpos- is metric, you can generally do:
> b[ZSchaufelishort] | zpos value = b[ZSchaufelishort] + b[EExPOS]*zpos
> value
> 
> for as many different values as you want. I assume that can be implemented
> via -lincom- and would invoke the ACM.
> 
> Cam
> 
> > Date: Sun, 5 Feb 2012 15:55:33 -0500
> > Subject: Re: st: SimpleSlopes in Multilevel Models
> > From: skolenik@gmail.com
> > To: statalist@hsphsun2.harvard.edu
> > 
> > If -zpos- is a binary variable with values 0/1, then the relation for
> > low levels is given by the coefficient itself, and for high levels, by
> > 
> > lincom _b[ ZSchaufelishort ] + _b[ EExPOS ]
> > 
> > which would invoke the covariance matrix behind the scenes. This can
> > also be done with -margins-, and the corresponding plots, with
> > -marginsplot-.
> > 
> > On Sun, Feb 5, 2012 at 2:03 PM, Kerstin Alfes <KAlfes@gmx.de> wrote:
> > > Thanks for the references, Cam. I will look into them!
> > >
> > > Stan, I would like to graph the interaction and also calculate whether
> the relationship between ZSchaufelishort and logperformance is significant
> for high and/or low levels of ZPOS. If there is a way to do this without
> the ACM, that would help a lot.
> > >
> > > Best wishes
> > > Kerstin
> > >
> > >
> > > -------- Original-Nachricht --------
> > >> Datum: Sun, 5 Feb 2012 10:21:14 -0500
> > >> Von: Stas Kolenikov <skolenik@gmail.com>
> > >> An: statalist@hsphsun2.harvard.edu
> > >> Betreff: Re: st: SimpleSlopes in Multilevel Models
> > >
> > >> On Sun, Feb 5, 2012 at 9:31 AM, Cameron McIntosh <cnm100@hotmail.com>
> > >> wrote:
> > >> > 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.
> > >>
> > >> I am pretty sure one won't need to try to get the covariance matrices
> > >> (which are available as -e(V)-), as there is little you cannot do
> > >> between -test-, -testnl-, -lincom- and -nlcom-. Matrix code will be
> > >> ugly, and you need to master the convenience tools, anyway. What is
> > >> involved in "estimating and testing simple slopes"?
> > >>
> > >> --
> > >> 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:
> *   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/


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