抄録
Based on recent discussions of the use of reliability coefficients, many psychometricians have recommended using model-based reliabilities. Green & Yang (2009) proposed that nonlinear SEM coefficients be used as model-based reliability for scales with ordered category data. However, very few published studies have evaluated nonlinear SEM coefficients. In order to use SEM coefficients in applied research, how they perform when models are misspecified should be investigated. The present study used a Monte Carlo method to evaluate nonlinear SEM coefficients in conditions of model misspecification. The results indicated that, in most of the conditions of the simulation, nonlinear SEM coefficients performed very well when the models were correctly specified, whereas the coefficients were severely biased when the models were misspecified. Biases in the coefficients were parallel to the extent of misspecification of the models. Based on the results of this simulation, the discussion proposes future directions for the use of nonlinear SEM coefficients in applied research.
寄稿の翻訳タイトル | Evaluation of the Reliability Coefficient Based on a Confirmatory Factor Analysis With Ordered Category Data: Comparison of Correctly Specified and Misspecified Models |
---|---|
本文言語 | Japanese |
ページ(範囲) | 281-296 |
ページ数 | 16 |
ジャーナル | Japanese Journal of Educational Psychology |
巻 | 69 |
号 | 3 |
DOI | |
出版ステータス | Published - 2021 |
Keywords
- model misspecification
- nonlinear SEM coefficient
- ordered category data
- reliability coefficient
ASJC Scopus subject areas
- 教育
- 発達心理学および教育心理学