| Autor: |
Byron J, Gajewski, Yu, Jiang, Hung-Wen, Yeh, Kimberly, Engelman, Cynthia, Teel, Won S, Choi, K Allen, Greiner, Christine Makosky, Daley |
| Rok vydání: |
2014 |
| Předmět: |
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| Zdroj: |
Case studies in business, industry and government statistics : CSBIGS. 5(2) |
| ISSN: |
2152-372X |
| Popis: |
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 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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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