পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| Generalizability Theory (G-Theory)× | দ্বি-প্যারামিটার লজিস্টিক আইআরটি মডেল (2PL)× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1963 | 1980 |
| প্রবর্তক≠ | Lee J. Cronbach and colleagues | Frederic M. Lord |
| ধরন≠ | ANOVA-based variance-component framework | Item response model / latent trait model |
| মৌলিক উৎস≠ | Brennan, R. L. (2001). Generalizability Theory. Springer. link ↗ | Lord, F. M. (1980). Applications of Item Response Theory to Practical Testing Problems. Erlbaum. link ↗ |
| অপর নাম | Generalizability Theory, G-Study / D-Study framework, Genellenebilirlik Kuramı (G-Kuramı) | two-parameter logistic model, 2PL model, 2PL IRT — İki Parametreli Madde Tepki Modeli |
| সম্পর্কিত | 6 | 6 |
| সারসংক্ষেপ≠ | 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. |
| ScholarGateডেটাসেট ↗ |
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