Assessment of Loneliness During the Pandemic: Comparing Various Short Forms of the UCLA Loneliness Scale in South Africa Using Classical Test Theory and Mokken Analysis

T. Pretorius, A. Padmanabhanunni
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Abstract

An important mental health concern arising from the COVID-19 pandemic was the loneliness resulting from the lockdown measures taken by many countries due to the outbreak. Thus, loneliness needs to be studied in detail for intervention purposes. The UCLA Loneliness Scale is the most widely used measure of loneliness. However, the 20-item measure has some drawbacks, including questionnaire fatigue, especially when used with other measures, and a lack of accurate responses to all items. In this study, we evaluated two short forms of the UCLA Loneliness Scale used in other studies (UCLA-10 and UCLA-8), as well as a five-item version developed in this study, through the classical test theory and Mokken analysis with two different sample groups (teachers, N = 337; students, N = 355). The results of the Mokken analysis and the confirmatory factor analysis showed that the UCLA-10 and UCLA-5 were unidimensional and exhibited reliability and convergent validity. In contrast, the UCLA-8 was multidimensional and violated several assumptions of monotonicity and invariant item-ordering, although it showed satisfactory reliability and concurrent validity. All three versions of the scale correlated significantly with other indices of psychological well-being regarding concurrent validity, and the correlation coefficients were comparable to the coefficients of the 20-item version with the same variables. All three versions of the loneliness scale also demonstrated satisfactory convergent and discriminant validity. The results indicated that the UCLA-10 and UCLA-5 can be used as reliable and valid measures when the use of the long version of the UCLA Loneliness Scale is unsuitable.
流行病期间孤独感的评估:使用经典测试理论和Mokken分析比较南非加州大学洛杉矶分校孤独感量表的各种简短形式
新冠肺炎大流行引发的一个重要心理健康问题是,许多国家因疫情而采取封锁措施,导致孤独。因此,出于干预目的,需要对孤独感进行详细研究。加州大学洛杉矶分校的孤独感量表是最广泛使用的孤独感测量方法。然而,20项测量有一些缺点,包括问卷疲劳,尤其是与其他测量一起使用时,以及缺乏对所有项目的准确回答。在本研究中,我们通过经典测试理论和对两个不同样本组(教师,N=337;学生,N=355)的Mokken分析,评估了其他研究中使用的两种简短形式的加州大学洛杉矶分校孤独感量表(UCLA-10和UCLA-8),以及本研究中开发的五项版本。Mokken分析和验证性因素分析结果表明,UCLA-10和UCLA-5是一维的,表现出信度和收敛有效性。相反,UCLA-8是多维的,违反了单调性和不变项目排序的几个假设,尽管它显示出令人满意的可靠性和并发有效性。该量表的所有三个版本都与其他关于同时有效性的心理健康指数显著相关,并且相关系数与具有相同变量的20项版本的系数相当。所有三个版本的孤独感量表也显示出令人满意的收敛和判别有效性。结果表明,当长版的加州大学洛杉矶分校孤独感量表不适合使用时,UCLA-10和UCLA-5可以作为可靠有效的测量方法。
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