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Multidimensional measurement of child social exclusion: Development and psychometric properties of the social exclusion scale for children (SESC)

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  • Jiang, Shan
  • Jiang, Chaoxin
  • Cheng, Yuhang
  • Li, Weimin

Abstract

The present study aimed to develop and validate the Social Exclusion Scale for Children (SESC) to advance the measurements of social exclusion in children and adolescents. A sample of children and adolescents aged 8–17 years was recruited through a multi-stage cluster random sampling in Kunming, China. Exploratory factor analysis (EFA) produced a four-factor solution comprising Economic Hardship, Access to Social Rights, Social Participation, and Relational Exclusion. This four-factor structure was further validated by confirmatory factor analysis (CFA) with a satisfactory model fit and factor loadings. The reliability and convergent validity of SESC were supported by Cronbach's alpha coefficients and Pearson correlation coefficients. The gender, household registration, and migration-related invariance of the SESC were supported at the configural, metric, and scalar levels. Overall, this study indicated that the SESC is a reliable and valid tool for assessing the multidimensional social exclusion of children and adolescents.

Suggested Citation

  • Jiang, Shan & Jiang, Chaoxin & Cheng, Yuhang & Li, Weimin, 2022. "Multidimensional measurement of child social exclusion: Development and psychometric properties of the social exclusion scale for children (SESC)," Children and Youth Services Review, Elsevier, vol. 141(C).
    • Handle: RePEc:eee:cysrev:v:141:y:2022:i:c:s0190740922002602
    DOI: 10.1016/j.childyouth.2022.106624
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    References listed on IDEAS

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    1. Burak, Durmus, 2023. "Psychometric properties of pandemic awareness scale for students aged 8–12: The case of COVID-19," Children and Youth Services Review, Elsevier, vol. 149(C).

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