Exploring Cross-Cultural and Gender Differences in Test Anxiety Among U.S. and Canadian College Students
Bibliographic record
Abstract
Existing measures of test anxiety used with the college student population are old with old norms and old items, and they do not capture the multiple dimensions of the test anxiety construct or assess facilitating anxiety. In the present study, the validity of the scores of a new, multidimensional measure of test anxiety with a facilitating component, the Test Anxiety Measure for College Students (TAM-C) was examined in a sample of 1,344 Canadian and U.S. college students. Tests of measurement invariance were performed across culture and gender on the TAM-C and cultural and gender differences were explored. The results of multigroup confirmatory factor analyses across culture and gender supported strong invariance on the TAM-C. Latent mean analyses were also conducted and cultural and gender differences were found on the TAM-C. Although additional research is needed, the TAM-C appears to be a promising new measure for use with Canadian and U.S. college students.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".