পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহু-গোষ্ঠী রাasch মডেল× | আইটেম রেসপন্স থিওরি (IRT)× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1960 (Rasch); 1980s–1990s (multi-group extensions) | 1952–1968 |
| প্রবর্তক≠ | Georg Rasch (single-group); extended to multi-group applications by Fischer, Molenaar, and others | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| ধরন≠ | Item response model / measurement invariance test | Probabilistic measurement model |
| মৌলিক উৎস≠ | Fischer, G. H. & Molenaar, I. W. (Eds.) (1995). Rasch Models: Foundations, Recent Developments, and Applications. Springer. ISBN: 978-0387944296 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| অপর নাম | MG-Rasch, Rasch measurement invariance, multi-group 1PL IRT, cross-group Rasch analysis | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| সম্পর্কিত≠ | 6 | 5 |
| সারসংক্ষেপ≠ | The multi-group Rasch model fits the one-parameter logistic item response model simultaneously across two or more distinct groups, testing whether item difficulty parameters are invariant across groups. It is the primary psychometric tool for establishing that a scale measures the same latent trait with the same metric in each group, a prerequisite for meaningful score comparisons. | Item response theory models the probability that a respondent answers an item correctly (or endorses it) as a function of the respondent's latent trait level and the item's own statistical properties — difficulty, discrimination, and guessing. Unlike classical test theory, IRT places persons and items on the same scale, yielding measurement that is sample-independent for items and test-independent for persons. |
| ScholarGateডেটাসেট ↗ |
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