Re: Mixed linear model

Posted by Salbod on Jun 13, 2011; 3:11pm
URL: http://spssx-discussion.165.s1.nabble.com/Mixed-linear-model-tp4477153p4484706.html

Gene, thank you for making the references available on this list.  Steve

 

From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of Gene Maguin
Sent: Monday, June 13, 2011 8:43 AM
To: [hidden email]
Subject: Re: Mixed linear model

 

Caroline,

 

Here are some references that you might find useful for graphing interactions. The list was given by Cam McIntosh on the semnet listserv. Of these, i think the Bauer and the Preacher references might be most helpful to you.

 

Gene Maguin

 

Garcia, R., & Kandemir, D. (2006). An illustration of modeling moderating variables in cross-national studies. International Marketing Review, 23(4), 371-389.

 

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

 

Hayes, A.F., & Matthes, J. (2009). Computational procedures for probing interactions in OLS and logistic regression: SPSS and SAS implementations. Behavior Research Methods, 41, 924-936. 

http://www.comm.ohio-state.edu/ahayes/MODPROBE.pdf

 

O'Connor, B.P. (1998). SIMPLE: All-in-one programs for exploring interactions in moderated multiple regression. Educational and Psychological Measurement, 58(5), 836-840.

https://people.ok.ubc.ca/brioconn/simple/simple.html

 

Whisman, M. A., & McClelland, G. H. (2005). Designing, testing, and interpreting interactions and moderator effects in family research. Journal of Family Psychology, 19, 111-120.

 

Dawson, J.F., & Richter, A.W. (2006). Probing three-way interactions in moderated multiple regression: development and application of a slope difference test. Journal of Applied Psychology, 91(4), 917-926.

 

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.pdf

http://www.people.ku.edu/~preacher/interact/index.html

 

Fletcher, T.D. (August 8, 2010). Quantitative Psychology Tools: Package ‘QuantPsyc’.

http://cran.r-project.org/web/packages/QuantPsyc/QuantPsyc.pdf

http://cran.r-project.org/web/packages/QuantPsyc/index.html

 

Armstrong, D. (May 19, 2010). Dave Armstrong’s Miscellaneous Functions: Package ‘DAMisc’, Version 1.0.

http://cran.r-project.org/web/packages/DAMisc/DAMisc.pdf

http://cran.r-project.org/web/packages/DAMisc/index.html

 

 

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From: SPSSX(r) Discussion [mailto:[hidden email]] On Behalf Of CAROLINE TILLOU
Sent: Friday, June 10, 2011 3:59 PM
To: [hidden email]
Subject: Mixed linear model

Hello   I ran a linear mixed model with a 5 continuous IV and one continuous DV. There are all measured at individual level (Level 1). But among the variables of control, there is one of them wich is measured at the organizational level (Level 2).   I started assessing the mean effects of these 5 IV on the DV. 2 of them are significant. Then, I tested the interactions effects between fixed effects. 4 of them are significant. I have two questions about these results:  - First, is there any Excel spreadsheet wich can be used to plot these interaction effects? - Second, as there are several significant interactions, how can I compare the results between each other?   Thank you very much in advance for your help   C.