Exploratory Factor Analysis: A Guide to Best Practice
Exploratory Factor Analysis: A Guide to Best Practice
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DOI：
10.1177/0095798418771807
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发表时间：
2018-04-01
影响因子：
5.2
通讯作者：
Watkins, Marley W.
中科院分区：
文献类型：
--
作者：
Watkins, Marley W.
探索性因素分析（EFA）是一种多元统计方法，已成为发展和验证心理学理论和测量的基本工具。然而，研究人员在进行全民教育时必须做出几个深思熟虑和基于证据的方法论决定，在每个决策点都有一些选择，有些比其他更好。对专业文献的审查一致发现，全民教育的许多应用都存在方法选择不当和报告不完整的问题。本文为开展全民教育研究提供了一个系统的、以证据为基础的指南，受过适度统计培训的研究人员可以遵循该指南，并辅以一个例子来说明其应用。
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.