পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বেয়েশীয় স্কেল উন্নয়ন× | আইটেম রেসপন্স থিওরি (IRT)× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1990s–2000s | 1952–1968 |
| প্রবর্তক≠ | Harold Jeffreys, expanded into psychometrics by Mislevy and colleagues | Frederic M. Lord (and Allan Birnbaum for the 2PL/3PL models) |
| ধরন≠ | Bayesian probabilistic scale construction | Probabilistic measurement model |
| মৌলিক উৎস≠ | De Ayala, R. J. (2009). The Theory and Practice of Item Response Theory. Guilford Press. ISBN: 978-1593858698 | Lord, F. M. & Novick, M. R. (1968). Statistical Theories of Mental Test Scores. Addison-Wesley. link ↗ |
| অপর নাম | Bayesian psychometric scale construction, Bayesian measurement modeling, Bayesian item development, BSD | IRT, latent trait theory, item characteristic curve theory, modern test theory |
| সম্পর্কিত | 5 | 5 |
| সারসংক্ষেপ≠ | Bayesian scale development applies Bayesian statistical inference to the construction and evaluation of psychometric scales. Rather than relying on single point estimates of item and person parameters, it produces full posterior distributions that quantify uncertainty, incorporate prior knowledge, and support principled decisions about item retention, reliability, and validity in small or complex samples. | 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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