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Rasch model of the bridging social capital questionnaire.

E Villalonga-Olives1, I Kawachi2, A M Rodríguez3

  • 1Pharmaceutical Health Services Research Department, University of Maryland School of Pharmacy, Baltimore, MD, USA.

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Summary

This study refined a scale to measure bridging social capital in Latinx immigrants. The updated Bridging Social Capital Questionnaire v2 shows improved psychometric properties for diverse populations.

Keywords:
Bridging social capitalEpidemiologyItem response theoryPsychometric propertiesPublic healthRasch analysis

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Area of Science:

  • Social Sciences
  • Psychology
  • Sociology

Background:

  • Bridging social capital, connections between dissimilar individuals, lacks robust measurement tools.
  • Previous validation of the Bridging Social Capital Questionnaire (BSCQ) used Classical Test Theory (CTT).
  • Modern psychometric approaches are recommended for comprehensive scale evaluation.

Purpose of the Study:

  • To further evaluate and refine the BSCQ using CTT and Rasch Measurement Theory (RMT).
  • To develop an updated version (v2) of the BSCQ suitable for Latinx immigrant populations.
  • To assess the psychometric properties of the BSCQ v2 for broader applicability.

Main Methods:

  • Developed a Rasch measurement model for the BSCQ.
  • Evaluated item fit, category thresholds, person separation index, local dependency, differential item functioning (DIF), unidimensionality, targeting, and item locations.
  • Utilized a new sample (N=224) for validation.

Main Results:

  • The Assistance sub-scale required modification due to low item-to-total correlations.
  • No disordered thresholds were found.
  • Evidence suggested modifications were needed for unidimensionality and Rasch model fit.
  • The BSCQ v2 comprises 61 items, reduced from 67 in v1.

Conclusions:

  • The Bridging Social Capital Questionnaire v2 demonstrates enhanced psychometric properties.
  • The updated scale is potentially suitable for adaptation to other immigrant groups globally.
  • Further validation using RMT provides a more rigorous assessment of measurement quality.