Linganisha mbinu
Pitia mbinu ulizochagua bega kwa bega; safu zinazotofautiana zinaangaziwa.
| Computerized adaptive test item response theory× | Uchanganuzi wa Kimfumo wa Uhakiki (CFA)× | |
|---|---|---|
| Nyanja | Saikometriki | Saikometriki |
| Familia | Latent structure | Latent structure |
| Mwaka wa asili≠ | 1970s–1980s | 1969 |
| Mwanzilishi≠ | Lord, F. M.; further developed by Wainer, van der Linden, and others | Karl Gustav Jöreskog |
| Aina≠ | Adaptive measurement / sequential testing | Hypothesis-testing latent variable model |
| Chanzo asilia≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Jöreskog, K. G. (1969). A general approach to confirmatory maximum likelihood factor analysis. Psychometrika, 34(2), 183–202. DOI ↗ |
| Majina mbadala | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing | CFA, confirmatory FA, measurement model, restricted factor analysis |
| Zinazohusiana | 4 | 4 |
| Muhtasari≠ | Computerized adaptive testing based on item response theory is a sequential measurement procedure in which a computer algorithm selects successive test items tailored to each examinee's estimated ability level. Drawing on IRT to model item characteristics and ability estimation, CAT delivers precise scores with far fewer items than fixed-length tests, making it efficient for high-stakes assessments, clinical screening, and large-scale surveys. | 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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