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Restricted Maximum Likelihood Estimation for Parameters of the Social Relations Model

Published online by Cambridge University Press:  01 January 2025

Steffen Nestler
Steffen Nestler*
Affiliation:
University of Münster
*
Correspondence should be made to Steffen Nestler, University of Münster, Fliednerstr. 21, 48149 Münster, Germany. Email: steffen.nestler@wwu.de; steffen.nestler@uni-muenster.de
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Abstract

In many areas of research, the round-robin design is used to study interpersonal judgments and behaviors. The resulting data are analyzed with the social relations model (SRM), whereby almost all previously published studies have used ANOVA-based methods or multilevel-based methods to obtain SRM parameter estimates. In this article, the SRM is embedded into the linear mixed model framework, and it is shown how restricted maximum likelihood can be employed to estimate the SRM parameters. It is also described how the effect of covariates on the SRM-specific effects can be estimated. An example is presented to illustrate the approach. We also present the results of a simulation study in which the performance of the proposed approach is compared to the ANOVA method.

Keywords

social relations modellinear mixed modelrestricted maximum likelihoodcovariates

Information

Type
Article
Information
Psychometrika , Volume 81 , Issue 4 , December 2016, pp. 1098 - 1117
Copyright
Copyright © 2015 The Psychometric Society

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Footnotes

This article is dedicated to Irmgard Laufer.

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