विधियों की तुलना करें
चुनी हुई विधियों की आमने-सामने समीक्षा करें; भिन्नता वाली पंक्तियाँ रेखांकित हैं।
| बहु-समूह विभेदक मद कार्यप्रणाली (MG-DIF)× | बहु-समूह आइटम रिस्पांस थ्योरी (MG-IRT)× | |
|---|---|---|
| क्षेत्र | मनोमिति | मनोमिति |
| परिवार | Latent structure | Latent structure |
| उद्भव वर्ष≠ | 1980s-1990s | 1990s |
| प्रवर्तक≠ | Shealy & Stout (SIBTEST framework); Lord (IRT-based DIF) | Multiple contributors; formalized by Birnbaum (1968) for IRT; multi-group extensions developed through 1980s–1990s |
| प्रकार≠ | Measurement bias detection | Latent trait / measurement invariance |
| मौलिक स्रोत≠ | Millsap, R. E. (2012). Statistical Approaches to Measurement Invariance. Routledge. ISBN: 978-1848728936 | Embretson, S. E. & Reise, S. P. (2000). Item Response Theory for Psychologists. Lawrence Erlbaum Associates. ISBN: 978-0805828191 |
| उपनाम | MG-DIF, multi-group DIF, differential item functioning across groups, multiple-group DIF analysis | MG-IRT, multiple-group IRT, multi-group latent trait model, IRT across groups |
| संबंधित | 6 | 6 |
| सारांश≠ | Multi-group differential item functioning examines whether test or scale items function equivalently across three or more distinct groups — such as gender, ethnicity, or country — after matching respondents on the underlying trait being measured. Items that behave differently across groups threaten fair measurement and valid score comparisons. | Multi-group item response theory fits IRT models simultaneously across two or more defined groups — such as males and females, or different cultural samples — to determine whether item parameters are invariant across those groups. It is the primary IRT-based framework for testing measurement equivalence and detecting differential item functioning (DIF) at the model level. |
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