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

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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.

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Correspondence to Sen-Chi Yu.

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Yu, SC., Hsu, WH. Applying structural equation modeling methodology to test validation: an example of cyberspace positive psychology scale. Qual Quant 47, 3423–3434 (2013). https://doi.org/10.1007/s11135-012-9730-3

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