Psychometric properties of the Persian version of Social Capital Questionnaire in Iran

Authors

  • Arezoo Yari Kurdistan Research Center for Social Determinants of Health (KRSDH),Kurdistan University of Medical Sciences, Sanandaj, Iran.
  • Haidar Nadrian Department of Health Education and Promotion, School of Health and Health Research Institute, Tehran University of Medical Sciences, Iran.
  • Haydeh Hoursan Department of Nursing & Midwifery, Sanandaj Branch, Islamic Azad University, Sanandaj, Iran.
  • Rajabali Doroudi School of Health and Health Research Institute, Tehran University of Medical Sciences, Tehran, Iran.
  • Saharnaz Nedjat Department of Epidemiology and Biostatistics, School of Health, Knowledge Utilization ResearchCenter, Tehran University of Medical Sciences, Tehran, Iran.
Abstract:

 Background: The aim of this study was to investigate the psychometric properties of Social Capital Questionnaire (SCQ) developed by Onyx and Bullen (2000) among a sample of medical science students in Tehran University of Medical Sciences, Iran and to compare the factor analysis with findings from two previous studies in Australia and the United States. Methods: Multistage cluster sampling was employed to recruit 293 medical science students (Male: 95/Female: 198) from 7 faculties in Tehran University of Medical Sciences. After translating SCQ into Persian applying back-translation technique and three-stage consensus panel, the questionnaires administered to the respondents and they were asked to complete them. Statistical Analysis was performed using SPSS version 16.0 for Windows. Results: Exploratory Factor Analysis (EFA) was conducted to evaluate factor structure of the Persian SCQ (PSCQ), which showed a moderate replicability, validity, and reliability (Cronbach alpha= .79) to those found in previous studies. Twelve factors extracted with eight values greater than 1 which altogether accounted for 76.23% of the total variance. Applying Cattell's scree test, it was indicated that between seven and eight factors extracted. The correlations between factors were detected in the low (at the lowest 0.002) to modest (at the highest 0.614) range. Conclusion: The differences found in the factor analysis between the studies may be ascribed to the various types of populations studied. Despite the difference in populations studied, our findings support the meaningfulness of P-SCQ as an instrument that is worthy of further attention for use in social health researches, although more studies are recommended to help researchers in comparing its variety in dimensions of different communities.

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Journal title

volume 28  issue 1

pages  107- 118

publication date 2014-01

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