Couples' joint decision-making

The Construction and Validation of a Key Proxy for Understanding Gender Relations in Contemporary Families

Bibliographic Data

ID3012055
AuthorsMaira Covre-Sussai (0000-0002-2052-4907, KU Leuven, corresponding author)
Year2014
Volume31
Issue1
Pages51-71
Publication date2014-06-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista Brasileira de Estudos de População (JOURNAL)
Journal identifiersISSN: 0102-3098 • E-ISSN: 1980-5519
PublisherFapUNIFESP (SciELO) (PUBLISHER)
DOI10.1590/s0102-30982014000100004
OpenAlexW2033341832
SCIELO_PIDS0102-30982014000100004
LanguageEN
Citations received1
References cited17

Gender relations have become a key dimension in family studies, and understanding gender relations as both determining and resulting from outcome of new family configurations requires the use of specific surveys aimed at the dynamics of couples. Unfortunately, nationally representative surveys of this type are not available for Latin American countries. Nonetheless, the most recent versions of the Demographic and Health Surveys (DHS) include a section called "Women's Status and Empowerment", which can provide information about gender relations as well. This study aims at assessing the construct of gender relations in terms of couples' joint decision-making for all five Brazilian geographical regions. To this end, a step-by-step multi-group confirmatory factor analysis (MGCFA) was applied in order to verify whether this concept can be compared across Brazilian regions. Results show that the DHS items can be used reliably for measuring couples' joint decision-making and that this construct can be meaningfully compared over the regions. These findings will contribute to further demographic and sociological research on gender relations which can use this concept and other indicators provided by the DHS to identify the causal processes related to it

Confirmatory factor analysis · Construct (python library · Dimension (graph theory · Empowerment · Political science · Proxy (statistics · Structural equation modeling · Computer Science · Gender, Labor, and Family Dynamics · Poverty, Education, and Child Welfare · Psychological Well-being and Life Satisfaction · Psychology · Social Psychology

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