Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Analiza itemilor (Teoria Clasică a Testelor)× | Analiza factoriala confirmatorie (CFA)× | |
|---|---|---|
| Domeniu | Psihometrie | Psihometrie |
| Familie | Latent structure | Latent structure |
| Anul apariției≠ | 1979 | 1969 |
| Autorul original≠ | Classical Test Theory tradition; foundational texts by Allen & Yen (1979) and Crocker & Algina (1986) | Karl Gustav Jöreskog |
| Tip≠ | Descriptive / psychometric screening | Hypothesis-testing latent variable model |
| Sursa seminală≠ | Allen, M. J. & Yen, W. M. (1979). Introduction to Measurement Theory. Brooks/Cole. ISBN: 978-0818501333 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Denumiri alternative≠ | Madde Analizi (Klasik Test Kuramı), CTT item analysis, classical item analysis | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Înrudite≠ | 5 | 4 |
| Rezumat≠ | Item analysis is the foundational psychometric procedure for evaluating the quality of individual test or scale items within the Classical Test Theory (CTT) framework, as systematised by Allen and Yen (1979) and Crocker and Algina (1986). It produces an item difficulty index, an item discrimination index, and a distractor analysis for each item, enabling test developers to identify items that are too easy, too hard, or failing to separate high- and low-ability respondents. | 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. |
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