What does the Mental Rotation Test Measure? An Analysis of Item Difficulty and Item Characteristics
Why this work is in the frame
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Bibliographic record
Abstract
The present study examined the contributions of various item characteristics to the difficulty of the individual items on the Mental Rotation Test (MRT). Analyses of item difficulties from a large data set of university students were conducted to assess the role of time limitation, distractor type, occlusion, configuration type, and the degree of angular disparity. Results replicated in large part previous findings that indicated that occluded items were significantly more difficult than non-occluded and that mirror items were more difficult than structural items. An item characteristic not previously examined in the literature, configuration type (homogeneous versus heterogeneous), also was found to be associated with item difficulty. Interestingly, no significant association was found between angular disparity and difficulty. Multiple regression analysis revealed that a model consisting of occlusion and configuration type alone was sufficient for explaining 53 percent of the variance in item difficulty. No interaction between these two factors was found. It is suggested, based on overall results, that basic figure perception, identification and comparison, but not necessarily mental rotation, account for much of the variance in item difficulty on the MRT.
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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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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