title: Tackling Longitudinal Round-Robin Data: A Social Relations Growth Model.
abstract: The social relations model (SRM) is commonly used in the analysis of interpersonal judgments and behaviors that arise in groups. The SRM was developed only for use with cross-sectional data. Here, we introduce an extension of the SRM to longitudinal data. The social relations growth model represents a person's repeated SRM judgments of another person as a function of time. We show how the model's parameters can be estimated using restricted maximum likelihood, and how the effects of covariates on interindividual and interdyad variability in growth can be computed. An example is presented to illustrate the suggested approach. We also present the results of a small simulation study showing the suitability of the social relations growth model for the analysis of longitudinal SRM data.
authors.affiliation: University of Leipzig, Neumarkt. 9-19, 04109 , Leipzig, Germany. steffen.nestler@uni-leipzig.de.
authors.forename: Steffen
authors.initials: S
authors.lastname: Nestler
authors.affiliation: University of Münster, Fliednerstr. 21, 48149, Münster, Germany.
authors.forename: Katharina
authors.initials: K
authors.lastname: Geukes
authors.affiliation: University of Utrecht, Utrecht, The Netherlands.
authors.forename: Roos
authors.initials: R
authors.lastname: Hutteman
authors.affiliation: University of Münster, Fliednerstr. 21, 48149, Münster, Germany.
authors.forename: Mitja D
authors.initials: MD
authors.lastname: Back
mesh_terms: D003198:Computer Simulation; D003430:Cross-Sectional Studies; D003627:Data Interpretation, Statistical; D005260:Female; D006126:Group Processes; D006801:Humans; D007600:Judgment; D016013:Likelihood Functions; D016014:Linear Models; D008137:Longitudinal Studies; D008297:Male; D008960:Models, Psychological; D015999:Multivariate Analysis; D012919:Social Behavior
keywords: linear mixed model; longitudinal data; restricted maximum likelihood; social relations model