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http://dx.doi.org/10.22937/IJCSNS.2021.21.5.29

The Psychometric Properties of Distance-Digital Subjective Happiness Scale  

Almaleki, Deyab A. (Department of Evaluation, Measurement and Research, Umm Al-Qura University)
Publication Information
International Journal of Computer Science & Network Security / v.21, no.5, 2021 , pp. 211-216 More about this Journal
Abstract
This study intended to test the structure of the latent factor of a subjective happiness scale and the stability of invariance across groups of students' classifications (gender and students' status). In the large, non-clinical sample (619), students completed the subjective happiness scale. The (CFA) confirmatory factor analysis was used to investigate the factor-structure of the measure, and multiple-group confirmatory factor analysis (MGCFA) model was used to test the stability of invariance across groups of students classifications. The findings of the CFA indicated support for the original one-factor model. Additional analyses of the MGCFA method support the measurement (configural, metric and strong) invariant and practical invariant components of this model. There was an invariant across gender. There was partially invariant across groups of students' statuses. The scale exists in both groups to assess the same concepts of (single and married), excluding Items 3 and 4. Given that this study is the first investigation for the structure of the subjective happiness scale.
Keywords
Digital Scale; Subjective Happiness; Factor Analysis; Factorial Invariance;
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