विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| आइटम रिस्पांस थ्योरी (CAT-IRT) पर आधारित कंप्यूटरीकृत अनुकूली परीक्षण× | अन्वेषणात्मक कारक विश्लेषण (EFA)× | |
|---|---|---|
| क्षेत्र≠ | मनोमिति | सांख्यिकी |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1970s–1980s | — |
| प्रवर्तक≠ | Lord, F. M.; further developed by Wainer, van der Linden, and others | — |
| प्रकार≠ | Adaptive measurement / sequential testing | Latent variable / dimension reduction |
| मौलिक स्रोत≠ | Wainer, H. (Ed.). (2000). Computerized Adaptive Testing: A Primer (2nd ed.). Lawrence Erlbaum Associates. ISBN: 978-0805835113 | Fabrigar, L. R., Wegener, D. T., MacCallum, R. C. & Strahan, E. J. (1999). Evaluating the use of exploratory factor analysis in psychological research. Psychological Methods, 4(3), 272–299. DOI ↗ |
| उपनाम≠ | CAT-IRT, adaptive testing, IRT-based CAT, computerized adaptive testing | common factor analysis, açımlayıcı faktör analizi, factor analysis |
| संबंधित | 4 | 4 |
| सारांश≠ | 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. | Exploratory factor analysis reduces a large set of observed variables into a smaller number of latent common factors. It is widely used in scale development and psychometrics to uncover the dimensional structure that underlies a set of correlated items, without specifying that structure in advance. |
| ScholarGateडेटासेट ↗ |
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