Literature DB >> 25730404

Getting the most out of family data with the R package fSRM.

Lara Stas1, Felix Schönbrodt2, Tom Loeys1.   

Abstract

Family research aims to explore family processes, but is often limited to the examination of unidirectional processes. As the behavior of 1 person has consequences that go beyond that individual, family functioning should be investigated in its full complexity. The social relations model (SRM; Kenny & La Voie, 1984) is a conceptual and analytical model that can disentangle family data from a round-robin design at 3 different levels: the individual level (actor and partner effects), the dyadic level (relationship effects), and the family level (family effect). Its statistical complexity may however be a hurdle for family researchers. The user-friendly R package fSRM performs almost automatically those rather complex SRM analyses and introduces new possibilities for assessing differences between SRM means and between SRM variances, both within and between groups of families. Using family data on negative processes, different type of research questions are formulated and corresponding analyses with fSRM are presented. (c) 2015 APA, all rights reserved).

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Year:  2015        PMID: 25730404     DOI: 10.1037/fam0000058

Source DB:  PubMed          Journal:  J Fam Psychol        ISSN: 0893-3200


  2 in total

1.  A Practical Tool for Family Assessment Based on the Social Relations Model.

Authors:  Tom Loeys; Marieke Fonteyn; Justine Loncke
Journal:  Front Psychol       Date:  2021-07-07

2.  Factor Score Regression With Social Relations Model Components: A Case Study Exploring Antecedents and Consequences of Perceived Support in Families.

Authors:  Justine Loncke; Veroni I Eichelsheim; Susan J T Branje; Ann Buysse; Wim H J Meeus; Tom Loeys
Journal:  Front Psychol       Date:  2018-09-19
  2 in total

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