Applying structural equation modeling methodology to test validation: an example of cyberspace positive psychology scale
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
Year of publication: |
2013
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Authors: | Yu, Sen-Chi ; Hsu, Wei-Hsin |
Published in: |
Quality & Quantity: International Journal of Methodology. - Springer. - Vol. 47.2013, 6, p. 3423-3434
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Publisher: |
Springer |
Subject: | Structural equation modeling | Test validation | Cyberspace positive psychology | Positive psychology | Well-being |
Saved in:
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