探索性因素分析
心理学
探索性研究
应用心理学
统计分析
点(几何)
管理科学
探索性分析
社会心理学
数据科学
心理测量学
临床心理学
计算机科学
统计
社会科学
社会学
几何学
数学
经济
标识
DOI:10.1177/0095798418771807
摘要
Exploratory factor analysis (EFA) is a multivariate statistical method that has become a fundamental tool in the development and validation of psychological theories and measurements. However, researchers must make several thoughtful and evidence-based methodological decisions while conducting an EFA, and there are a number of options available at each decision point, some better than others. Reviews of the professional literature have consistently found that many applications of EFA are marked by an injudicious choice of methods and incomplete reports. This article provides a systematic, evidence-based guide to the conduct of EFA studies that can be followed by researchers with modest statistical training, supplemented with an example to illustrate its application.
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