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泰国社交媒体参与量表(T-SMES)的因子结构与解释

Factor structure and interpretation on the Thai-Social Media Engagement Scale (T-SMES).

作者信息

Wisessathorn Manika, Pramepluem Nuchchamon, Kaewwongsa Sawian

机构信息

Faculty of Education, Ramkhamhaeng University, Thailand.

Faculty of Economics, Ramkhamhaeng University, Thailand.

出版信息

Heliyon. 2022 Jul 19;8(7):e09985. doi: 10.1016/j.heliyon.2022.e09985. eCollection 2022 Jul.

DOI:10.1016/j.heliyon.2022.e09985
PMID:35874076
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9305356/
Abstract

Due to the fact that social media has become an integral part of daily life, particularly in the new normal society, there are few instruments for measuring social media usage with a cut-off score. As a reason, the objective of this study was to develop a Thai-Social Media Engagement Scale (T-SMES) that has been verified for validity and reliability as well as a cut-off score for interpretation. Data was collected from 403 participants through an online questionnaire. The findings of exploratory factor analysis (EFA) revealed that the T-SMES was extracted into three components; accounted for 66.44% of the total variance, including (1) feeling at ease and not missing out, (2) making it a habit, and (3) a sense of being attracted to and connected to others. The test items were satisfactory in terms of validity and reliability. For identifying high social media engagement, a cut-off score of 24 was found to be optimal (sensitivity = 80.9%, specificity = 72.2%, positive predictive rate (PPR) = 92.3%, negative predictive rate (NPR) = 47.9%, and accuracy rate = 79.2%). Overall, the findings suggest that the T-SMES is an empirically valid and reliable instrument for measuring social media engagement, with optimal cut-off scores that can be used in practice.

摘要

由于社交媒体已成为日常生活中不可或缺的一部分,尤其是在新常态社会中,用于衡量社交媒体使用情况并设定临界值的工具很少。因此,本研究的目的是开发一种泰语社交媒体参与量表(T-SMES),该量表已经过效度和信度验证以及用于解释的临界值。通过在线问卷收集了403名参与者的数据。探索性因素分析(EFA)的结果表明,T-SMES可提取为三个成分;占总方差的66.44%,包括(1)感到自在且不遗漏,(2)养成习惯,以及(3)被他人吸引并与之建立联系的感觉。测试项目在效度和信度方面令人满意。为了识别高社交媒体参与度,发现临界值为24时最为合适(灵敏度 = 80.9%,特异度 = 72.2%,阳性预测率(PPR) = 92.3%,阴性预测率(NPR) = 47.9%,准确率 = 79.2%)。总体而言,研究结果表明,T-SMES是一种经过实证验证且可靠的用于测量社交媒体参与度的工具,具有可用于实践的最佳临界值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797f/9305356/c9f07705a86b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797f/9305356/481c63128afa/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797f/9305356/4a0e9a7a94af/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797f/9305356/c9f07705a86b/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797f/9305356/481c63128afa/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797f/9305356/4a0e9a7a94af/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/797f/9305356/c9f07705a86b/gr3.jpg

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