探索性因素分析
探索性分析
比例(比率)
协议(科学)
心理学
因子(编程语言)
受众测量
医学教育
多元分析
心理测量学
应用心理学
医学
数据科学
计算机科学
替代医学
临床心理学
病理
法学
程序设计语言
内科学
物理
量子力学
政治学
作者
Brett Williams,Andrys Onsman,Ted Brown
出处
期刊:Australasian Journal of Paramedicine
[Australasian College of Paramedicine]
日期:2010-01-01
卷期号:8: 1-13
被引量:2227
摘要
Factor analysis is a multivariate statistical approach commonly used in psychology, education, and more recently in the health-related professions. This paper will attempt to provide novice researchers with a simplified approach to undertaking exploratory factor analysis (EFA). As the paramedic body of knowledge continues to grow, indeed into scale and instrument psychometrics, it is timely that an uncomplicated article such as this be offered to the paramedic readership both nationally and internationally. Factor analysis is an important tool that can be used in the development, refinement, and evaluation of tests, scales, and measures that can be used in education and clinical contexts by paramedics. The objective of the paper is to provide an exploratory factor analysis protocol, offering potential researchers with an empirically-supported systematic approach that simplifies the many guidelines and options associated with completing EFA.
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