Motivational Climate in Physical Education, Achievement Motivation, and Physical Activity: A Latent Interaction Model
Bibliographic record
Abstract
Purpose: To assess if high school students’ leisure-time physical activity is predicted by their perception of the motivational climate, their perceived competence, and their achievement goals in physical education (PE) and if these variables interact with each other. Methods: A sample of 843 high school students completed self-reported questionnaires in the middle and at the end of the school year. The data were analyzed by structural equation modeling and latent moderated structural equations. Results: Leisure-time physical activity was positively predicted by students’ performance-approach goals and perceived competence in PE and by the interaction between their perceived competence and their adoption of mastery goals. Discussion/Conclusion: Only individual variables in PE were related to leisure-time physical activity. The significant interaction effect between students’ mastery goals and perceived competence in PE suggests that teachers need to foster students’ perceptions of competence. The authors therefore discuss the scope of the results with regard to pedagogical practices.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".