Suppr超能文献

对涵盖50个条目的IPIP五因素模型量表在不同性别和种族群体间的因素结构等效性进行的一项测试。

A test of the factor structure equivalence of the 50-item IPIP Five-factor model measure across gender and ethnic groups.

作者信息

Ehrhart Karen Holcombe, Roesch Scott C, Ehrhart Mark G, Kilian Britta

机构信息

Department of Management, San Diego State University, San Diego, CA92182, USA.

出版信息

J Pers Assess. 2008 Sep;90(5):507-16. doi: 10.1080/00223890802248869.

Abstract

Personality is frequently assessed in research and applied settings, in part due to evidence that scores on measures of the Five-factor model (FFM) of personality show predictive validity for a variety of outcomes. Although researchers are increasingly using the International Personality Item Pool (IPIP; Goldberg, 1999; International Personality Item Pool, 2007b) FFM measures, investigations of the psychometric properties of these measures are unfortunately sparse. The purpose of this study was to examine the factor structure equivalence of the 50-item IPIP FFM measure across gender and ethnic groups (i.e., Whites, Latinos, Asian Americans) using multigroup confirmatory factor analysis. Results from a sample of 1,727 college students generally support the invariance of the factor structure across groups, although there was some evidence of differences across gender and ethnic groups for model parameters. We discuss these findings and their implications.

摘要

在研究和应用场景中,人格常常会得到评估,部分原因在于有证据表明,人格五因素模型(FFM)量表的得分对各种结果具有预测效度。尽管研究人员越来越多地使用国际人格项目池(IPIP;Goldberg,1999;国际人格项目池,2007b)的FFM量表,但遗憾的是,对这些量表心理测量特性的研究却很少。本研究的目的是使用多组验证性因素分析,检验50项IPIP FFM量表在性别和种族群体(即白人、拉丁裔、亚裔美国人)中的因素结构等效性。来自1727名大学生样本的结果总体上支持了各群体因素结构的不变性,尽管有一些证据表明,模型参数在性别和种族群体之间存在差异。我们讨论了这些发现及其意义。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验