Likelihood Estimation of the Multivariate Social Relations Model

Autor/in	Nestler, Steffen
Titel	Likelihood Estimation of the Multivariate Social Relations Model
Quelle	In: Journal of Educational and Behavioral Statistics, 43 (2018) 4, S.387-406 (20 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1076-9986
DOI	10.3102/1076998617741106
Schlagwörter	Mathematical Models; Interpersonal Relationship; Maximum Likelihood Statistics; Computation; Multivariate Analysis; Statistical Analysis + Suchen Sie Ihr Suchwort? Mathematical model; Mathematisches Modell; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Multivariate Analyse; Statistische Analyse
Abstract	The social relations model (SRM) is a mathematical model that can be used to analyze interpersonal judgment and behavior data. Typically, the SRM is applied to one (i.e., univariate SRM) or two variables (i.e., bivariate SRM), and parameter estimates are obtained by employing an analysis of variance method. Here, we present an extension of the SRM to an arbitrary number of variables and show how the parameters of this multivariate model can be estimated using a maximum likelihood or a restricted maximum likelihood approach. Overall, the two likelihood approaches provide consistent and efficient parameter estimates and can be used to investigate a multitude of interesting research questions. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01