The social relations model for family data: A multilevel approach

Authors


  • We thank Dr. Coby Gerlsma for permission to use her data. This research was supported in part by a grant to the second author from the National Institute of Mental Health (R01–MHS1964).

concerning this article should he sent to Tom A.B. Snijders, Department of Statistics, Measurement Theory, and Information Technology, University of Groningen, Grote Kruisstraat 2/1, 9712 TS Groningen, The Netherlands. E-mail: T.A.B.Snijders@ppsw.rug.nl. E-mail address for David A. Kenny: kenny@uconnvm.uconn.edu

Abstract

Multilevel models are proposed to study relational or dyadic data from multiple persons in families or other groups. The variable under study is assumed to refer to a dyadic relation between individuals in the groups. The proposed models are elaborations of the Social Relations Model. The different roles of father, mother, and child are emphasized in these models. Multilevel models provide researchers with a method to estimate the variances and correlations of the Social Relations Model and to incorporate the effects of covariates and test specialized models, even with missing observations.

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