Jacob K S, Everitt B S, Patel V, Weich S, Araya R, Lewis G H
Section of Epidemiology and General Practice, Institute of Psychiatry, London.
Psychol Med. 1998 Jan;28(1):145-52. doi: 10.1017/s0033291797005710.
Factor analysis has been employed to identify latent variables that are unifying constructs and that parsimoniously describe correlations among a related group of variables. Confirmatory factor analysis is used to test hypothesized factor structures for a set of variables; it can also, as in this paper be used to model data from two or more groups simultaneously to determine whether they have the same factor structure.
Non-psychotic psychiatric morbidity, elicited by the Revised Clinical Interview Schedule (CIS-R), from four culturally diverse populations was compared. Confirmatory factor analysis was employed to compare the factor structures of CIS-R data sets from Santiago, Harare, Rotherhithe and Ealing. These structures were compared with hypothetical one and two factor (depression-anxiety) models.
The models fitted well with the different data sets. The depression-anxiety model was marginally superior to the one factor model as judged by various statistical measures of fit. The two factors in depression-anxiety model were, however, highly correlated.
The findings suggest that symptoms of emotional distress seem to have the same factor structure across cultures.
因子分析已被用于识别潜在变量，这些潜在变量是统一的结构，能够简洁地描述一组相关变量之间的相关性。验证性因子分析用于检验一组变量的假设因子结构；它也可以像本文一样，用于同时对来自两个或更多组的数据进行建模，以确定它们是否具有相同的因子结构。
比较了通过修订后的临床访谈表（CIS-R）在四个文化背景不同的人群中得出的非精神病性精神疾病发病率。采用验证性因子分析来比较来自圣地亚哥、哈拉雷、罗瑟希德和伊灵的CIS-R数据集的因子结构。将这些结构与假设的单因子和双因子（抑郁-焦虑）模型进行比较。
这些模型与不同的数据集拟合良好。根据各种拟合统计量判断，抑郁-焦虑模型略优于单因子模型。然而，抑郁-焦虑模型中的两个因子高度相关。
研究结果表明，情绪困扰症状在不同文化中似乎具有相同的因子结构。
