The Social Relations Model for Count Data: An Exploration of Intergenerational Co-Activity within Families

Justine Loncke, William L. Cook, Jenae M. Neiderhiser, Tom Loeys

Research output: Contribution to journalArticlepeer-review

Abstract

The social relations model (SRM) is typically used to identify sources of variance in interpersonal dispositions in families. Traditionally, it uses dyadic measurements that are obtained from a round-robin design, where each family member rates each other family member. Those dyadic measurements are mostly considered to be continuous, but we, however, will discuss how the SRM can be adapted to count dyadic measurements. Such SRM for count data can be formulated in the SEM-framework by viewing it as a confirmatory factor analysis (CFA), but it can also be defined in the multilevel framework. These two frameworks result in equivalent models of which the parameters can be estimated using maximum likelihood estimation or a Bayesian approach. We perform a simulation study to compare the performance of those two estimators. As an illustration, we consider intergenerational co-activity data from a block design and contrast family dynamics between non-divorced families and stepfamilies.

Original languageEnglish (US)
Pages (from-to)157-174
Number of pages18
JournalMethodology
Volume15
Issue number4
DOIs
StatePublished - 2019

All Science Journal Classification (ASJC) codes

  • General Social Sciences
  • General Psychology

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