เปรียบเทียบวิธี
ดูวิธีที่เลือกเทียบกันแบบเคียงข้าง แถวที่ต่างกันจะถูกเน้นไว้
| Robust Differential Item Functioning× | โมเดล Rasch× | |
|---|---|---|
| สาขาวิชา | การวัดทางจิตวิทยา | การวัดทางจิตวิทยา |
| ตระกูล | Latent structure | Latent structure |
| ปีกำเนิด≠ | 1990s–2000s | 1960 |
| ผู้ริเริ่ม≠ | Building on DIF work by Cleary & Hilton (1968) and Mantel-Haenszel by Holland & Thayer (1988); robust extensions developed through 1990s–2000s | Georg Rasch |
| ประเภท≠ | Item bias / fairness analysis | Item Response Theory / Latent trait model |
| แหล่งต้นตำรับ≠ | Magis, D., Beland, S., Tuerlinckx, F., & De Boeck, P. (2011). A general framework and an R package for the detection of dichotomous differential item functioning. Behavior Research Methods, 43(3), 847–862. DOI ↗ | Rasch, G. (1960). Probabilistic Models for Some Intelligence and Attainment Tests. Danish Institute for Educational Research, Copenhagen. link ↗ |
| ชื่อเรียกอื่น | Robust DIF, outlier-resistant DIF detection, robust item bias analysis, DIF with robust estimation | 1PL IRT, one-parameter logistic model, Rasch Modeli — 1PL IRT, 1PL model |
| ที่เกี่ยวข้อง | 6 | 6 |
| สรุป≠ | Robust differential item functioning analysis detects items that behave differently across demographic groups after matching respondents on the underlying trait, while protecting the procedure against distortion by outliers, model misfit, or contaminated anchor items. It is applied in educational testing, clinical assessment, and survey research to ensure that a scale measures the same construct equally fairly for all groups. | 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. |
| ScholarGateชุดข้อมูล ↗ |
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