The Development of Social Media Users' Quality of Life Scale
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Abstract
Objective: To develop the social media users’ quality of life scale. that has confidence in internal consistency and construct validity within acceptable level.
Methods: To develop the Social Media Users’ Quality of Life scale (SMQ), the questionnaire was originally composed of 36 questions, which were then reduced to 30 questions according to the expert’s suggestion. The questions were selected based on the value of communalities and the measurement of internal consistency by identifying Cronbach’s alpha coefficient. Moreover, the construct validity was measured through the exploratory factor analysis (EFA). The confirmatory factor analysis (CFA), and the latent profile analysis (LPA) were performed to categorize social media users according to their quality-of-life level.
Results: The research data collection was conducted online. The research samples accounted for 1,293 social media users aged 13 years and older (the mean age 38.17 years) in four generations. The questionnaire was modified to contain 27 questions based on the value of communalities. The exploratory factor analysis (EFA) revealed that all question items had loading factors of >0.4. The confirmatory factor analysis (CFA) indicated that the model fitted with the empirical data at χ2/df = 4.7, GFI= 0.92, CFI= 0.90, RMR= 0.04, RMSEA=0.05. The Cronbach’s alpha coefficients were measured in four domains: sociopsychological domain, relationship domain, mental and capacity support domain, and physical domain with values of 0.74, 0.82, 0.76 and 0.82 respectively. The Cronbach’s alpha coefficients of SMQ was 0.78. Latent profile analysis was achieved to provide appropriate cut-off points to categorize the level of quality of life of social media users by generations into 3 groups (low, moderate, and high groups).
Conclusion: The SMQ has quality in terms of validity and reliability is within acceptable level.
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