Construct Validation of the Motivated Strategies for Learning Questionnaire in a Singapore High School Sample
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
In this study, the construct validity of the Motivated Strategies for Learning Questionnaire (MSLQ) was assessed. Participants were 441 Year 11 students in Singapore. Three separate confirmatory factor analyses were conducted for each section of the MSLQ (motivation and learning strategies). Results indicated that the original factor structures proposed by the instrument developers produced the best model fit. Cronbach α coefficients were also acceptable for all but one of the individual scales. Correlations with the Revised Learning Process Questionnaire—Two Factor and physics achievement scores also aligned with the theoretical basis of the MSLQ. These results confirmed the potential utility of this instrument for assessing the motivation and learning strategies of secondary students in Singapore.
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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 | 0.000 | 0.001 |
| 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) | 0.001 | 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