Abstract
A method is presented for estimating reliability using structural equation modeling (SEM) that allows for nonlinearity between factors and item scores. Assuming the focus is on consistency of summed item scores, this method for estimating reliability is preferred to those based on linear SEM models and to the most commonly reported estimate of reliability, coefficient alpha.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 155-167 |
| Number of pages | 13 |
| Journal | Psychometrika |
| Volume | 74 |
| Issue number | 1 |
| DOIs | |
| State | Published - Mar 1 2009 |
Keywords
- Factor analysis of categorical data
- Reliability
- Reliability of scales with Likert items
- Structural equation modeling
ASJC Scopus subject areas
- Psychology(all)
- Applied Mathematics
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Green, S. B., & Yang, Y. (2009). Reliability of summed item scores using structural equation modeling: An alternative to coefficient alpha. Psychometrika, 74(1), 155-167. https://doi.org/10.1007/s11336-008-9099-3