Teaching Confirmatory Factor Analysis to Non-Statisticians: A Case Study for Estimating Reliability of Psychometric Instruments Journal Article


Authors: Gajewski, Byron J.; Jiang, Yu; Yeh, Hung-Wen; Engelman, Kimberly; Teel, Cynthia; Choi, Won S.; Greiner, K. Allen; Daley, Christine Makosky
Article Title: Teaching Confirmatory Factor Analysis to Non-Statisticians: A Case Study for Estimating Reliability of Psychometric Instruments
Abstract: 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 the students (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.
Keywords: Pile Sorting; Instrument Development; Multivariate Methods; Center for American Indian Community Health
Journal Title: Case Studies In Business, Industry And Government Statistics
Volume: 5
Issue: 2
ISSN: 2152-372X
Publisher: Unknown  
Date Published: 2014-01-01
Start Page: 88
End Page: 101
Copyright Statement: © 2014 CS-BIGS
DOI/URL:
KUMC Authors
  1. Cynthia Teel
    25 Teel
  2. Allen Greiner
    66 Greiner
  3. Won S. Choi
    85 Choi
  4. Christine M. Daley
    47 Daley
  5. Byron J. Gajewski
    115 Gajewski
  6. Hung-Wen (Henry) Yeh
    39 Yeh
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