विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| संक्षिप्त रूप सामान्यीकरण सिद्धांत× | सामान्यीकरण सिद्धांत (जी-सिद्धांत)× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1963–1972 (G-theory); short-form extension ongoing from 1980s | 1963–1972 |
| प्रवर्तक | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam |
| प्रकार≠ | Reliability / decision-study framework | Variance-components reliability model |
| मौलिक स्रोत≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. ISBN: 978-0387952826 | Cronbach, L. J., Gleser, G. C., Nanda, H. & Rajaratnam, N. (1972). The Dependability of Behavioral Measurements: Theory of Generalizability for Scores and Profiles. Wiley. link ↗ |
| उपनाम≠ | G-theory for abbreviated scales, short-form G-study, abbreviated test generalizability, short-form D-study | G-theory, G-study / D-study framework, variance components reliability |
| संबंधित≠ | 5 | 4 |
| सारांश≠ | Short form generalizability theory applies the G-theory variance-component framework to abbreviated measurement instruments, using G-studies and D-studies to estimate how many items a short scale must retain to achieve a desired reliability and to evaluate the accuracy of decisions made with a condensed instrument. | Generalizability Theory is a psychometric framework that decomposes observed score variance into multiple sources — persons, items, raters, occasions, and their interactions — using analysis of variance. It replaces the single reliability coefficient of classical test theory with a family of coefficients that tell researchers how well scores generalize across different measurement conditions. |
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