文章基本信息

标题：The Psychometric Properties of Distance-Digital Subjective Happiness Scale
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作者：Deyab A. Almaleki
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2021
卷号：21
期号：5
页码：211-216
DOI：10.22937/IJCSNS.2021.21.5.29
出版社：International Journal of Computer Science and Network Security
摘要：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.
关键词：Digital Scale; Subjective Happiness; Factor Analysis; Factorial Invariance