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Measuring social capital through multivariate analyses for the IQ-SC.
Ana Cristina Viana Campos1, Carolina Marques Borges2, Andréa Maria Duarte Vargas3
1School of Dentistry, Universidade Federal de Minas Gerais, Faculdade de Odontologia // Presidente Antônio Carlos 6627, Belo Horizonte, 31270-901, Minas Gerais, Brazil. campos.acv@gmail.com.
This study demonstrates that multivariate statistical analyses effectively measure social capital. Community participation and trust in neighbors are key factors in forming distinct social capital groups.
Area of Science:
- Sociology
- Social Psychology
- Statistics
Background:
- Social capital is a collective process built on trust, reciprocity, and solidarity.
- Understanding social capital formation is crucial for societal well-being.
Purpose of the Study:
- To examine latent classes of social capital using the IQ-SC.
- To identify key factors influencing individual social capital.
Main Methods:
- Cross-sectional study with 363 working adolescents in Brazil.
- Employed Two Step Cluster and discriminant analysis for segmentation and validation.
- Utilized the World Bank Questionnaire for measuring social capital.
Main Results:
- Identified three distinct social capital groups: low, medium, and high.
- "Community participation" and "trust in neighbors" significantly predicted social capital.
- Discriminant analysis achieved high classification accuracy (95.0% cases, 93.1% non-cases).
Conclusions:
- Multivariate analyses (segmentation and discriminant) are effective for measuring social capital.
- The IQ-SC can successfully categorize individuals into varying levels of social capital.
- Community engagement and neighborly trust are vital components of robust social capital.
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