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Applying structural equation modeling methodology to test validation: an example of cyberspace positive psychology scale

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  • Sen-Chi Yu

  • Wei-Hsin Hsu

Abstract

Although the structural equation modeling (SEM) methodology is a powerful tool for validating psychological measurements, few studies have used complete SEM-based indexes in test validation. This study developed and validated the cyberspace positive psychology scale (C-PPS) via SEM techniques. A total of 411 college students were recruited from four universities in Taiwan for the study. Hierarchical confirmatory factor analysis was used to test construct validity, and a structural model provided criterion-related validity. Reliability was reported via composite reliability. Results of the analyses show that the C-PPS demonstrated high reliability and good construct validity. Furthermore, criterion-related validity identified that although positive psychology in cyberspace and positive psychology in real life contexts are correlated, the two are also distinguishable. To conclude, the C-PPS is valid and reliable. The validation of the C-PPS indicates that college students can exhibit positive psychological traits in both the real and virtual worlds. Copyright Springer Science+Business Media B.V. 2013

Suggested Citation

  • Sen-Chi Yu & Wei-Hsin Hsu, 2013. "Applying structural equation modeling methodology to test validation: an example of cyberspace positive psychology scale," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(6), pages 3423-3434, October.
    • Handle: RePEc:spr:qualqt:v:47:y:2013:i:6:p:3423-3434
    DOI: 10.1007/s11135-012-9730-3
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