Dimensions of Social Capital: Principal Component Analysis of the WVS World Values Survey WORKING PAPER SERIES

Dimensiones del Capital Social: Análisis de Componentes Principales Sobre la Encuesta Mundial de Valores WVS SERIE DOCUMENTOS DE TRABAJO

María Victoria Ramírez-Muñoz (), Francisco Rabadán Peréz () and Sergio A Berumen ()
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María Victoria Ramírez-Muñoz: UA - Université d'Angers, EGEI - Éthique et Gouvernance de l’Entreprise et des Institutions - UCO - Université Catholique de l'Ouest
Francisco Rabadán Peréz: URJC - Universidad Rey Juan Carlos = Rey Juan Carlos University
Sergio A Berumen: URJC - Universidad Rey Juan Carlos = Rey Juan Carlos University

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Abstract: Objective: To measure the dimensions of social capital identified in the literature. The database used for our measurement is the World Values Survey (WVS), wave 7 (2017-2022). Context: There is existing research, but it is deemed insufficient, as acknowledged by the authors themselves. Methodology: Principal Component Analysis (PCA). Results: A range of factors constituting social capital is identified, and they are measured on individuals using factor scores. Conclusions: Each social capital factor is associated with a set of variables that can be found in other databases, allowing for the replication of these factors in future research. The explanatory power of each factor is expressed as a percentage of total explained variance. Well-being is introduced as an additional dimension, thereby opening the possibility of exploring its relationship with other dimensions of social capital in future research.

Keywords: Social Capital; Measurement Methods; World Values Survey; Principal Component Analysis (PCA); Community Well-being; Latent Variables. (search for similar items in EconPapers)
Date: 2023
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Published in Instituto Universitario de Análisis Económico y Social de la Universidad de Alcalá (IAES), 2023, ⟨10.13140/RG.2.2.29023.84648⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04299772

DOI: 10.13140/RG.2.2.29023.84648

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