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Record W2780989258 · doi:10.1123/jsep.2016-0267

The Antecedents of Coaches’ Interpersonal Behaviors: The Role of the Coaching Context, Coaches’ Psychological Needs, and Coaches’ Motivation

2017· article· en· W2780989258 on OpenAlexaff
Meredith Rocchi, Luc G. Pelletier

Bibliographic record

VenueJournal of Sport and Exercise Psychology · 2017
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsCoachingPsychologyInterpersonal communicationContext (archaeology)Self-determination theoryPerceptionApplied psychologyStructural equation modelingSocial psychologyGoal theoryInterpersonal relationshipPsychotherapist

Abstract

fetched live from OpenAlex

This study explored how the coaching context influences coaches' psychological needs, motivation, and reported interpersonal behaviors, using self-determination theory. In Study 1, 56 coaches identified how contextual factors influence their coaching experience. Coaches identified administration, athlete motivation, colleagues, parents, professional development, time, and work-life as having the largest impact on them. In Study 2, 424 coaches reported on their perceptions of the factors identified in Study 1 and their psychological needs, motivation, and interpersonal behaviors. Structural equation modeling analyses suggested perceptions of the coaching context supported or thwarted their psychological needs, which positively or negatively predicted their autonomous and controlled motivation. Coaches' autonomous motivation predicted their reported supportive interpersonal behaviors and controlled motivation predicted thwarting behaviors. Overall, the results provided additional support for understanding how the coaching context, coaches' psychological needs, and their motivation for coaching relate to their coaching behaviors.

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)0.002
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 score0.034
Threshold uncertainty score0.631

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.328
Teacher spread0.294 · 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

Citations67
Published2017
Admission routes1
Has abstractyes

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