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For better or for worse family‐related well‐being: A meta‐analysis of crossover effects in dyadic studies
Author(s) -
Matei Alina,
Maricuțoiu Laurenţiu P.,
Vîrgă Delia
Publication year - 2021
Publication title -
applied psychology: health and well‐being
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.276
H-Index - 31
eISSN - 1758-0854
pISSN - 1758-0846
DOI - 10.1111/aphw.12253
Subject(s) - crossover , structural equation modeling , psychology , meta analysis , variance (accounting) , spillover effect , social psychology , crossover study , explained variation , statistics , computer science , mathematics , medicine , economics , alternative medicine , accounting , pathology , artificial intelligence , microeconomics , placebo
The present preregistered meta‐analysis aimed to assess the evidence regarding the work–family interactions, as dyadic studies report them. The introduction differentiated between spillover (or intra‐individual) effects and crossover (or inter‐individual) effects by using dyadic studies. Following an online and reference list search, out of the initial 339 studies, 36 eligible articles reported correlations between one partner's variables and the other partner's variables. Analyses included 1504 effect sizes and used meta‐analytical calculations and structural equation modeling. Both partners' well‐being measures had small proportions of shared variance (i.e. shared variance up to 13.69%). The following analyses focused on the potential effects that could explain the shared variance of family‐related well‐being. There was little evidence of a crossover effect from one's work‐related variables toward the partners’ family‐related well‐being. Furthermore, analyses using structural equation modeling did not yield any results to support a crossover effect from one's work–family interaction toward their partner's well‐being. These findings suggest that the literature needs new research studies regarding how family‐related demands and resources are related to well‐being and personal resources in the crossover processes.