Cross-National Comparisons between Canadian and US Higher Education Students on a New, Brief, Multidimensional Measure of Test Anxiety
Bibliographic record
Abstract
Cross-cultural equivalence, country and gender differences, and external relations with other measures were examined on a new, brief measure of test anxiety, the Test Anxiety Measure for College Students-Short Form (TAMC-SF), in a sample of Canadian and US higher education students. The sample of 1204 students completed the TAMC-SF and other measures online. The results of tests of invariance found support for partial scalar invariance across country and gender on the TAMC-SF. In addition, results of a multivariate analysis of variance (MANOVA) and analysis of variances (ANOVAs) found country and gender differences on the TAMC-SF scales. Furthermore, validity evidence for the TAMC-SF scores with the scores of external measures was found. Overall, the findings support the use of the same test score interpretation for Canadian and US higher education students on the TAMC-SF and the use of the TAMC-SF in Canadian higher education students.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".