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Record W1552677306

The Relationship Between the Congruency in Perceptions of Coach Leadership Behaviours and Perceptions of Cohesion and Performance

2012· book· en· W1552677306 on OpenAlexaff
Vander Laan, Glenda Anthony

Bibliographic record

VenueUMI eBooks · 2012
Typebook
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsPsychologyTransformational leadershipCoachingTransactional leadershipPerceptionSocial psychologyCohesion (chemistry)AthletesGroup cohesivenessApplied psychology
DOInot available

Abstract

fetched live from OpenAlex

The purpose of the present study was to examine the relationship between perceptual congruency of coaching leadership and perceptions of cohesion and performance. Sixty coaches and 199 athletes responded to two leadership inventories: the Differentiated Transformational Leadership Inventory (DTLI; Callow et al., 2009) measuring transformational leadership and the Leadership Scale for Sports (LSS; Chelladurai & Saleh, 1980) measuring transactional leadership. Additionally, athletes indicated perceptions of cohesion by completing the Group Environment Questionnaire (GEQ; Carron et al., 1985) and perceptions of personal performance through a self-report performance measure (Spalding, 2010). Results indicated that over-evaluative athletes (i.e., those who rated the coach favourably) held greater perceptions of all four dimensions of cohesion (all p’s ≤ .05) and the dimension of Performance Achievement (p < .001) than did under-evaluative athletes (i.e., those who rated the coach less favourably). The findings provide evidence of the role congruency has upon perceptions of the group environment.

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 score0.037
Threshold uncertainty score0.702

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 studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.104
GPT teacher head0.339
Teacher spread0.235 · 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

Citations0
Published2012
Admission routes1
Has abstractyes

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