Investigating Sources of Differential Item Functioning in International Large-Scale Assessments Using a Confirmatory Approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
International large-scale assessments of achievement often have a large degree of differential item functioning (DIF) between countries, which can threaten score equivalence and reduce the validity of inferences based on comparisons of group performances. It is important to understand potential sources of DIF to improve the validity of future assessments; however, previous attempts to identify sources of DIF have had variable results. This study had two purposes. The first was to apply a confirmatory approach (Poly-SIBTEST) to investigate sources of DIF typically found in international large-scale assessments: adaptation effects and cognitive loadings of items. We conducted three pairwise DIF analyses on Spanish and English versions of the Progress in International Reading Literacy Study 2001 Reader booklet. Results confirmed that item cognitive loadings were a source of differential functioning favoring both England and the United States when compared against Colombia; however, adaptation effects did not consistently favor one group or the other. The second purpose of this study was to highlight strengths and limitations of Poly-SIBTEST for conducting substantive analyses of differential functioning sources and also to offer suggestions for future directions on this type of methodological research.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it