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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]

Author

Listed:
  • María Victoria Ramírez-Muñoz

    (UA - Université d'Angers, UCO - Université Catholique de l'Ouest)

  • Francisco Rabadán Peréz

    (URJC - Universidad Rey Juan Carlos [Madrid])

  • Sergio A Berumen

    (URJC - Universidad Rey Juan Carlos [Madrid])

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.

Suggested Citation

  • María Victoria Ramírez-Muñoz & Francisco Rabadán Peréz & Sergio A Berumen, 2023. "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," Post-Print hal-04299772, HAL.
    • Handle: RePEc:hal:journl:hal-04299772
    DOI: 10.13140/RG.2.2.29023.84648
    as

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