文章基本信息

标题：Teaching confirmatory factor analysis to non-statisticians: a case study for estimating the composite reliability of psychometric instruments
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作者：Byron J. Gajewski ; Yu Jiang ; Hung-Wen Yeh 等
期刊名称：Case Studies in Business, Industry and Government Statistics
印刷版ISSN：2152-372X
出版年度：2014
卷号：5
期号：2
页码：88-101
出版社：Bentley University
摘要：Texts and software that we are currently using for teaching multivariate analysis to non-statisticians lack in the delivery of confirmatory factor analysis (CFA). The purpose of this paper is to provide educators with a complement to these resources that includes CFA and its computation. We focus on how to use CFA to estimate a “composite reliability” of a psychometric instrument. This paper provides step-by-step guidance for introducing, via a case-study, the non-statistician to CFA. As a complement to our instruction about the more traditional SPSS, we successfully piloted the software R for estimating CFA on nine non-statisticians. This approach can be used with healthcare graduate students taking a multivariate course, as well as modified for community stakeholders of our Center for American Indian Community Health (e.g. community advisory boards, summer interns, & research team members).The placement of CFA at the end of the class is strategic and gives us an opportunity to do some innovative teaching: (1) build ideas for understanding the case study using previous course work (such as ANOVA); (2) incorporate multi-dimensional scaling (that students already learned) into the selection of a factor structure (new concept); (3) use interactive data from thestudents (active learning); (4) review matrix algebra and its importance to psychometric evaluation; (5) show students how to do the calculation on their own; and (6) give students access to an actual recent research project.
关键词：Pile Sorting; Instrument Development; Multivariate Methods; Center for American Indian ; Community Health