Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 0 |
| Since 2017 (last 10 years) | 0 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Bayesian Statistics | 1 |
| Item Response Theory | 1 |
| Markov Processes | 1 |
| Models | 1 |
| Monte Carlo Methods | 1 |
| Psychometrics | 1 |
| Test Bias | 1 |
| Test Items | 1 |
| Testing Programs | 1 |
Source
| ProQuest LLC | 1 |
Author
| Bilir, Mustafa Kuzey | 1 |
Publication Type
| Dissertations/Theses -… | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkBilir, Mustafa Kuzey – ProQuest LLC, 2009
This study uses a new psychometric model (mixture item response theory-MIMIC model) that simultaneously estimates differential item functioning (DIF) across manifest groups and latent classes. Current DIF detection methods investigate DIF from only one side, either across manifest groups (e.g., gender, ethnicity, etc.), or across latent classes…
Descriptors: Test Items, Testing Programs, Markov Processes, Psychometrics
