পদ্ধতির তুলনা করুন
নির্বাচিত পদ্ধতিগুলো পাশাপাশি পর্যালোচনা করুন; যে সারিগুলোয় পার্থক্য আছে সেগুলো চিহ্নিত করা হয়।
| বহুস্তরীয় ডিফারেনশিয়াল আইটেম ফাংশনিং (Multilevel DIF)× | বহুস্তরীয় পরিমাপের সমতা (Multilevel Measurement Invariance)× | |
|---|---|---|
| ক্ষেত্র | মনোমিতি | মনোমিতি |
| পরিবার | Latent structure | Latent structure |
| উদ্ভবের বছর≠ | 2001 | 2000s |
| প্রবর্তক≠ | Kamata (2001) and subsequent multilevel IRT/DIF literature | Muthén, Asparouhov, and colleagues |
| ধরন≠ | Bias detection / multilevel measurement model | Measurement model evaluation |
| মৌলিক উৎস≠ | French, B. F., & Finch, W. H. (2008). Multigroup confirmatory factor analysis: Locating the invariant referent sets. Structural Equation Modeling: A Multidisciplinary Journal, 15(1), 96–113. DOI ↗ | Muthén, B. O., & Asparouhov, T. (2009). Multilevel factor analysis of class and student achievement components. Journal of Educational and Behavioral Statistics, 34(2), 250–270. link ↗ |
| অপর নাম | multilevel DIF, hierarchical DIF analysis, cross-level DIF, ML-DIF | MLMI, multilevel factorial invariance, cross-level measurement invariance, multilevel CFA invariance |
| সম্পর্কিত≠ | 5 | 3 |
| সারসংক্ষেপ≠ | Multilevel DIF analysis detects whether individual test or survey items function differently across groups when respondents are clustered within higher-level units — such as students nested in schools, employees in organizations, or patients in clinics. By accounting for hierarchical data structure, it separates genuine item bias from artificial DIF signals caused by ignoring clustering. | Multilevel measurement invariance testing evaluates whether a latent construct is measured equivalently both within clusters (e.g., individuals within teams) and between clusters (e.g., team-level aggregates). It extends standard measurement invariance procedures to nested data structures commonly encountered in organisational, educational, and cross-cultural research. |
| ScholarGateডেটাসেট ↗ |
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