期刊
PSYCHIATRY RESEARCH
卷 304, 期 -, 页码 -出版社
ELSEVIER IRELAND LTD
DOI: 10.1016/j.psychres.2021.114134
关键词
Personality disorders; DSM-5; PID-5; Factor analysis; Measurement invariance
类别
资金
- Ministerio de Ciencia, Innovacion y Universidades, Spain [PSI2017-85,022-P]
- UAM-IIC Chair Psychometric Models and Applications
The study aimed to explore the scalar invariance of the dimensional Alternative Model of Personality Disorders across cultures by administering the PID-5 to samples from Belgium, Catalonia, France, Spain, and Switzerland. The results supported the configural and metric invariance, allowing for cross-cultural mean comparisons.
The validity of cross-cultural comparisons of test scores requires that scores have the same meaning across cultures, which is usually tested by checking the invariance of the measurement model across groups. In the last decade, a large number of studies were conducted to verify the equivalence across cultures of the dimensional Alternative Model of Personality Disorders (DSM-5 Section III). These studies have provided information on configural invariance (i.e., the facets that compose the domains are the same) and metric invariance (i.e., facet domain relationships are equal across groups), but not on the stricter scalar invariance (i.e., the baseline levels of the facets are the same), which is a prerequisite for meaningfully comparing group means. The present study aims to address this gap. The Personality Inventory for DSM-5 (PID-5) was administered to five samples differing on country and language (Belgium, Catalonia, France, Spain, and Switzerland), with a total of 4,380 participants. Configural and metric invariance were supported, denoting that the model structure was stable across samples. Partial scalar invariance was supported, being minimal the influence of non-invariant facets. This allowed crosscultural mean comparisons. Results are discussed in light of the sample composition and a possible impact of culture on development of psychopathology.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据