A Path‐Analytic Model of Self‐Determination Theory in a Physical Activity Context
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This study examines Self‐Determination Theory (SDT) in a physical activity context, using a prospective design to predict leisure time physical activity. We expected need satisfaction and self‐determined motivation to predict physical activity 1 month later. One hundred sixteen undergraduate students completed two questionnaires, 1 month after the other. As anticipated, a path analysis revealed the proposed model to fit the data. Specifically, each psychological need positively predicted self‐determined motivation, and competence negatively predicted nonself‐determined motivation. Self‐determined motivation was then found to predict physical activity 1 month later, while nonself‐determined motivation was not a significant predictor. These findings support the theoretical model proposed by SDT and the implications of these findings are discussed.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it