Порівняння методів
Переглядайте обрані методи поруч; рядки з відмінностями підсвічено.
| Багаторівнева надійність повторних вимірювань× | Конфірматорний факторний аналіз (КФА)× | |
|---|---|---|
| Галузь | Психометрія | Психометрія |
| Родина | Latent structure | Latent structure |
| Рік появи≠ | 1979 (ICC foundation); multilevel extension: 1990s–2000s | 1969 |
| Автор методу≠ | Shrout & Fleiss (ICC foundation); multilevel extension by Goldstein, Snijders, and others | Karl Gustav Jöreskog |
| Тип≠ | Reliability estimation under hierarchical data | Hypothesis-testing latent variable model |
| Основоположне джерело≠ | Shrout, P. E. & Fleiss, J. L. (1979). Intraclass correlations: Uses in assessing rater reliability. Psychological Bulletin, 86(2), 420–428. DOI ↗ | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Інші назви | hierarchical test-retest reliability, multilevel ICC reliability, nested test-retest reliability, ML-TRT reliability | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Пов'язані≠ | 5 | 4 |
| Підсумок≠ | Multilevel test-retest reliability estimates how consistently a measurement instrument produces the same scores across repeated administrations when observations are nested within higher-level units — such as patients within clinics or students within classrooms. It partitions total score variance across levels using intraclass correlation coefficients derived from multilevel models. | Confirmatory factor analysis tests a researcher-specified factor structure against observed data. Unlike exploratory approaches, the researcher decides in advance which indicators load on which latent factor, and the model is evaluated by how closely the implied covariance matrix reproduces the sample covariance matrix. CFA is central to scale validation, construct validity assessment, and measurement invariance testing. |
| ScholarGateНабір даних ↗ |
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