Σύγκριση μεθόδων
Εξετάστε τις επιλεγμένες μεθόδους δίπλα-δίπλα· οι γραμμές που διαφέρουν επισημαίνονται.
| Διασταυρούμενη Λειτουργικότητα Στοιχείων Πολλαπλών Ομάδων (MG-DIF)× | Πολυομαδική Θεωρία Απόκρισης Αντικειμένων (MG-IRT)× | |
|---|---|---|
| Πεδίο | Ψυχομετρία | Ψυχομετρία |
| Οικογένεια | Latent structure | Latent structure |
| Έτος προέλευσης≠ | 1980s-1990s | 1990s |
| Δημιουργός≠ | Shealy & Stout (SIBTEST framework); Lord (IRT-based DIF) | Multiple contributors; formalized by Birnbaum (1968) for IRT; multi-group extensions developed through 1980s–1990s |
| Τύπος≠ | Measurement bias detection | Latent trait / measurement invariance |
| Θεμελιώδης πηγή≠ | 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 |
| Εναλλακτικές ονομασίες | 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 |
| Συναφείς | 6 | 6 |
| Σύνοψη≠ | 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. |
| ScholarGateΣύνολο δεδομένων ↗ |
|
|