Beyond individual factors: Contextual factors matter for students' test anxiety
Bibliographic record
Abstract
This study explored the simultaneous role of selected individual, parental, and school factors in student's test anxiety. In 2019, both members of 339 Canadian parent-child dyads ( N = 626; 209 girls, 260 mothers, mostly White, child M age = 15.2) from 13 schools completed self-report validated scales at two time points (May/June 2019 and October/November 2019). Results from multilevel mixed-effects models revealed that negative stress mindsets, perfectionism, and low autonomous motivation significantly predicted 16 % of students' test anxiety four months later. When parental and school-related factors were also considered, parents' trait anxiety (5 %), school type and school level predicted a small additional proportion of the variance (4 %), contrary to controlled motivation, parental practices, perceived threat in the environment and socioeconomic status. Results did not significantly vary across students' or parents' genders. Findings suggest that some contextual factors play an additional unique role in explaining students' test anxiety beyond individual factors, thus pointing out possible new contextual targets for interventions to reduce test anxiety in 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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".