विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| सामान्यीकरण सिद्धांत (जी-सिद्धांत)× | दो-पैरामीटर लॉजिस्टिक आईआरटी मॉडल (2PL)× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1963 | 1980 |
| प्रवर्तक≠ | Lee J. Cronbach and colleagues | Frederic M. Lord |
| प्रकार≠ | ANOVA-based variance-component framework | Item response model / latent trait model |
| मौलिक स्रोत≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. link ↗ | Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Erlbaum. link ↗ |
| उपनाम | Generalizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı) | two-parameter logistic model, 2PL model, 2PL IRT — İki Parametreli Madde Tepki Modeli |
| संबंधित | 6 | 6 |
| सारांश≠ | Generalizability Theory, developed by Lee J. Cronbach and colleagues in the 1960s and formalised by Brennan (2001), is an ANOVA-based framework that extends Classical Test Theory by decomposing observed score variance into multiple, separately identified sources of measurement error — such as raters, tasks, occasions, or items — rather than bundling all error into a single undifferentiated term. | The two-parameter logistic item response model, formalised by Frederic Lord (1980), describes the probability that a respondent answers a binary test item correctly as a smooth S-shaped function of the respondent's latent ability. By estimating a separate discrimination parameter for each item alongside a difficulty parameter, 2PL allows items to differ in how sharply they distinguish high- from low-ability respondents — making it the standard model for large-scale educational and psychological assessments. |
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