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Record W2117348168 · doi:10.1080/1612197x.2014.909511

The relationship between self-efficacy and performance within a continuous educational gymnastics routine

2014· article· en· W2117348168 on OpenAlexaff
Kaitlyn LaForge-MacKenzie, Philip Sullivan

Bibliographic record

VenueInternational Journal of Sport and Exercise Psychology · 2014
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsBrock University
Fundersnot available
KeywordsSelf-efficacyPsychologyOverconfidence effectReciprocalTask (project management)Path analysis (statistics)Developmental psychologySocial psychologyClinical psychologyStatistics

Abstract

fetched live from OpenAlex

Self-efficacy has been shown to be related to sport performance in a significant and reciprocal fashion over one season and across repeated trials. The present study investigated the self-efficacy–performance relationship within one continuous (i.e. uninterrupted) sport task. Forty-seven participants had their self-efficacy and performance measured concurrently five times within one educational gymnastic routine. A path analysis revealed that self-efficacy was not a significant predictor of performance, nor was performance a significant predictor of self-efficacy. Previous performance was, however, a significant predictor of subsequent performance, and previous self-efficacy was a significant predictor of subsequent self-efficacy. Although these findings were inconsistent with previous trial-to-trial self-efficacy–performance studies, this may be due to a notion of “overconfidence” developed as a result of the routines created by the participants in an educational gymnastics course. The results further raise an interesting issue of whether the previously established reciprocal self-efficacy–performance relationship remains recursive when tasks vary within one performance.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.510

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.025
GPT teacher head0.343
Teacher spread0.318 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations13
Published2014
Admission routes1
Has abstractyes

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