THE EFFECTS OF SELF-EFFICACY, SELF-CONTROL STRENGTH AND NORMATIVE FEEDBACK ON EXERCISE PERFORMANCE
Bibliographic record
Abstract
The strength model of self-control suggests that self-regulation and self-control processes are governed by finite internal energy resources. However, this perspective has recently come under scrutiny suggesting that self-control processes are not solely constrained to limited resources and may also be guided by motivational-cognitive processing. Self-efficacy theory and control theory are two theoretical views of self-regulation that also suggest self-regulation failures are dependent on motivational-cognitive processes; however the potential role of limited resources has not been evaluated in the context of these theoretical views. This dissertation sought to advance our understanding of self-regulation and self-control of exercise behaviour by integrating the three theoretical perspectives discussed above. Study 1 showed that self-control depletion leads to reductions in task self-efficacy mediating the self-control depletion – negative performance change relationship. Overall, findings are consistent with self-efficacy theory. However the results are limited as the mechanism(s) leading to reduced self-efficacy following self-control depletion remain unclear. Study 2 explored a sequential (serial) mediation model investigating the idea that exerting self-control leads to an altered psychophysiological state increasing subjective fatigue, which in turn, leads to reduced self-efficacy to exert self-control and reductions in physical self-control performance. Findings supported the proposed sequential mediation model. However, it remains unclear to what extent that self-efficacy plays a passive or active role guiding self-controlled behaviour following self-control depletion. Study 3 explored the independent and interactive effects of self-control depletion and normative performance feedback on self-efficacy and physical self-control. Findings showed an interaction between self-control depletion and feedback. Findings support predictions of control theory when self-control resources are intact, but suggest feedback information is processed differently when self-control strength is depleted. Overall, results show that when self-efficacy is manipulated by feedback the effects of self-control depletion on performance are no longer evident supporting self-efficacy’s role as an active causal mechanism determining behaviour.
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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 | 0.003 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".