Do Test Formats in Reading Comprehension Affect Second-Language Students' Test Performance Differently?
Why this work is in the frame
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Bibliographic record
Abstract
Large-scale testing in English affects second-language students not only greatly but also differently than first-language learners. The research literature reports that confounding factors in such large-scale testing such as varying test formats may differentially affect the performance of students from diverse backgrounds. An investigation of test performance between ESL/ELD students and non- ESL/ELD students on the Ontario Secondary School Literacy Test (OSSLT) was performed to investigate whether test formats in reading comprehension affected the two groups differently. The results indicate that the overall pattern of difficulty levels on the three test formats were the same between ESL/ELD students and non-ESL/ELD students, except that ESL/ELD students performed substantially lower on each format and that more variability was found among ESL/ELD students. Further, discriminant analysis results indicated that only the multiplechoice questions obtained a significant discriminant coefficient in differentiating the two groups. The results suggest a lack of association between test formats and test performance.
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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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.202 | 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