手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 短縮版一般化可能性理論× | 多層信頼性分析× | |
|---|---|---|
| 分野 | 心理測定学 | 心理測定学 |
| 系統 | Latent structure | Latent structure |
| 提唱年≠ | 1963–1972 (G-theory); short-form extension ongoing from 1980s | 2014 |
| 提唱者≠ | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam | Geldhof, Preacher & Zyphur |
| 種類≠ | Reliability / decision-study framework | Reliability estimation / psychometric modeling |
| 原典≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Geldhof, G. J., Preacher, K. J., & Zyphur, M. J. (2014). Reliability estimation in a multilevel confirmatory factor analysis framework. Psychological Methods, 19(1), 72–91. DOI ↗ |
| 別名 | G-theory for abbreviated scales, short-form G-study, abbreviated test generalizability, short-form D-study | multilevel omega, within-group reliability, between-group reliability, hierarchical reliability |
| 関連≠ | 5 | 3 |
| 概要≠ | Short form generalizability theory applies the G-theory variance-component framework to abbreviated measurement instruments, using G-studies and D-studies to estimate how many items a short scale must retain to achieve a desired reliability and to evaluate the accuracy of decisions made with a condensed instrument. | Multilevel reliability analysis estimates the internal consistency of scale scores separately at the within-group (individual) and between-group (cluster) levels. It corrects the bias that arises when ordinary alpha or omega is applied to hierarchically nested data, such as employees within organizations or students within classrooms. |
| ScholarGateデータセット ↗ |
|
|