Personality traits and examination anxiety: Moderating role of gender
Bibliographic record
Abstract
This study is aimed at examining the moderating effect of gender on the relationship between personality traits and state anxiety. The participants were 375 Iranian high school students (193 males and 182 females). The instruments used were the NEO-FFI-3 Inventory and State Anxiety Inventory. Results of the structural model showed that from the five personality dimensions, extraversion and conscientiousness negatively related to state anxiety whereas neuroticism affected it positively. Results of multigroup analysis also revealed that gender moderated the paths between extraversion and state anxiety in female students and conscientiousness and state anxiety in male students. Overall, findings suggested that both personality traits and gender differences can be determinant factors in state anxiety. Cette étude porte sur l’effet modérateur qu’a le sexe sur le rapport entre les traits de caractère et l’état d’anxiété. Les participants consistaient en 375 élèves iraniens au secondaire (193 hommes et 182 femmes). Le questionnaire NEO-FFI-3 et le questionnaire SAI sur l’anxiété (State Anxiety Inventory) ont servi d’outils à l’étude. Les résultats du modèle structurel ont indiqué que des cinq dimensions du caractère, l’extraversion et la conscience sont en relation négative avec l’anxiété, alors que le névrosisme est en relation positive. Les résultats d’une analyse multi-groupe ont également révélé que le sexe atténuait le rapport entre l’extraversion et l’anxiété chez les femmes, et entre la conscience et l’anxiété chez les hommes. Globalement, les résultats portent à conclure que tant les traits de caractère que les différences entre les sexes peuvent être des facteurs déterminants dans l’état d’anxiété.
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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 | 0.002 | 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) | 0.032 | 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".