Restricted Maximum Likelihood Estimation for Parameters of the Social Relations Model

Steffen Nestler ()
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Steffen Nestler: University of Münster

Psychometrika, 2016, vol. 81, issue 4, No 10, 1098-1117

Abstract: 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 model; linear mixed model; restricted maximum likelihood; covariates (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (4)

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DOI: 10.1007/s11336-015-9474-9

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