A multicomponent model of the theory of planned behaviour
Bibliographic record
Abstract
The purpose of this study was to investigate the measurement and predictive structure of multiple components of attitude (affective and instrumental), subjective norm (injunctive and descriptive) and an alternative measure of perceived behavioural control (PBC; skills/ability, opportunity, and resources) in the exercise domain. An additional purpose of the study was to compare the validity of the alternative PBC measure to a standard PBC measure for predicting exercise intention and behaviour. Participants were 220 undergraduates who completed measures of the theory of planned behaviour (TPB) and a 2-week follow-up of exercise behaviour. Results supported the discriminant validity in the measurement domains of all TPB components. Predictive validity of exercise behaviour for these components, however, was only evident for attitude and PBC components. Our alternative PBC measure was found commensurate with the standard PBC measure. Finally, intention significantly (p < .05) predicted exercise behaviour (R2 = .42), while affective attitude, and perceived opportunity significantly (p < .05) predicted intention (R2 = .47).
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.002 |
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".