克朗巴赫阿尔法
心理学
临床心理学
印地语
验证性因素分析
抑郁症状
精神科
心理测量学
结构方程建模
统计
焦虑
语言学
哲学
数学
作者
Wei Zheng,Xian-Jun Lan,Zhen-Juan Qin,Gábor S. Ungvári,Yu‐Tao Xiang
标识
DOI:10.1016/j.ajp.2023.103477
摘要
The study investigated the psychometric properties of the Community, Assessment of Psychic Experiences (CAPE-42), a self-report instrument in Indians.CAPE-42 was translated in Hindi and tested on 312 Indian adults recruited online and through paper-pencil assessment. Confirmatory factor analysis (CFA) was employed to establish the factor structure of the positive, negative and depressive dimensions of CAPE-42: the bifactor model was tested to evaluate whether items converge into a major single factor defining psychotic-proneness in individuals. Latent class analysis (LCA) was conducted to identify subgroups with a different endorsement of subclinical psychotic symptoms.,CAPE-Hindi showed good reliability (Cronbach’s alpha>0.80). CFA confirmed, a good fit for the bifactor model, factor loading was acceptable for all items in the general factor (Omega-h =0.83) and explained the primary variance of the subscales. Residual variance was explained by the positive, negative and depressive factors (Omega H =0.33, 0.04 and 0.12, respectively). LCA identified three classes traceable, to the three dimensions; a low endorsement group (n = 155; 50 %); a less consistent, group with endorsement on positive and depressive items (n = 117; 38 %), and a high, endorsement group (n = 40;13 %).Hindi CAPE-42 showed good reliability and factorial validity
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