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Record W1981258722 · doi:10.1080/02640410410001675333

The relationship of task self-efficacy and role efficacy beliefs to role performance in Spanish youth soccer

2004· article· en· W1981258722 on OpenAlexaff
Steven R. Bray, Isabel Balaguer, Joan L. Duda

Bibliographic record

VenueJournal of Sports Sciences · 2004
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsSelf-efficacyPsychologyTask (project management)Bivariate analysisAthletesMultilevel modelMultilevel modellingSocial psychologyApplied psychologyComputer sciencePhysical therapyMedicine

Abstract

fetched live from OpenAlex

The aim of this study was to examine the relationship between role efficacy and role performance after controlling for the effects of task self-efficacy. Two hundred and ninety-five Spanish youth soccer players from 20 teams completed self-report measures of task self-efficacy, role efficacy and role performance at the mid-point of a competitive season. The 20 team coaches also provided ratings of each of their players' role performances at mid-season. Consistent with hypotheses, bivariate correlations showed task self-efficacy and role efficacy were positively related to role performance ratings. Hierarchical regression analyses revealed that role efficacy contributed significantly to the prediction of athletes' ratings of role performance after controlling for task self-efficacy. Role efficacy also explained significant variation in the prediction of coach ratings; however, the effects were less dramatic and inconsistent. Our results support self-efficacy theory and reinforce the value of assessing efficacy beliefs representing behaviours carried out both independently and interdependently for the prediction of role performance within team environments. Future research directions are proposed.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.294
Teacher spread0.267 · 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 source (direct Gemma or distilled Codex), 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

Citations26
Published2004
Admission routes1
Has abstractyes

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