পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| মাল্টি-গ্রুপ জেনারালাইজেবিলিটি থিওরি× | Generalizability Theory (G-Theory)× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 1963–2001 | 1963–1972 |
| প্রবর্তক≠ | Lee J. Cronbach and colleagues (Cronbach, Gleser, Nanda, Rajaratnam), extended to multi-group contexts by Brennan and others | Lee J. Cronbach, Goldine Gleser, Harinder Nanda, Nageswari Rajaratnam |
| ধরন≠ | Variance component / reliability generalization | Variance-components reliability model |
| মৌলিক উৎস≠ | 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 ↗ |
| অপর নাম≠ | MG G-theory, multi-group G-theory, generalizability theory across groups, cross-group G-study | G-theory, G-study / D-study framework, variance components reliability |
| সম্পর্কিত≠ | 6 | 4 |
| সারসংক্ষেপ≠ | Multi-group generalizability theory (MG G-theory) extends classical generalizability theory to estimate and compare variance components — attributable to persons, items, raters, occasions, and their interactions — simultaneously across two or more defined groups. It reveals whether a measurement procedure is equally reliable and generalizable for every group studied, supporting fair and equitable score interpretation. | 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. |
| ScholarGateডেটাসেট ↗ |
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