Restricted Maximum Likelihood Estimation for Parameters of the Social Relations Model.
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.
University of Münster, Fliednerstr. 21, 48149 , Münster, Germany. steffen.nestler@wwu.de.
Steffen
S
Nestler
D000704:Analysis of Variance; D003198:Computer Simulation; D005260:Female; D006126:Group Processes; D006801:Humans; D007398:Interpersonal Relations; D007600:Judgment; D016013:Likelihood Functions; D016014:Linear Models; D008297:Male; D008960:Models, Psychological; D011594:Psychometrics; D012107:Research Design; D012737:Sex Factors; D012919:Social Behavior
covariates; linear mixed model; restricted maximum likelihood; social relations model