विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| बहुस्तरीय राश मॉडल× | राश मॉडल× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1997 | 1960 |
| प्रवर्तक≠ | Adams, Wilson & Wu | Georg Rasch |
| प्रकार≠ | Hierarchical item response model | Item Response Theory / Latent trait model |
| मौलिक स्रोत≠ | Adams, R. J., Wilson, M. & Wu, M. (1997). Multilevel item response models: An approach to errors in variables regression. Journal of Educational and Behavioral Statistics, 22(1), 47–76. DOI ↗ | Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗ |
| उपनाम | hierarchical Rasch model, random-effects Rasch model, multilevel IRT Rasch, MRCML model | 1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model |
| संबंधित≠ | 5 | 6 |
| सारांश≠ | The multilevel Rasch model extends the standard Rasch model to data with a nested structure — for example, students within classrooms within schools — by embedding person ability parameters inside a hierarchical linear model. It yields item difficulty estimates on a logit scale while simultaneously partitioning person-ability variance across cluster levels and correcting standard errors for non-independence. | The Rasch model, introduced by Georg Rasch in 1960, is the simplest member of the Item Response Theory (IRT) family. It assigns a single difficulty parameter to each test item and places both item difficulties and person abilities on the same logit scale, enabling direct, sample-independent comparison of items and persons. |
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