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Record W2066906964 · doi:10.1177/0013164409344520

Athletes’ Perceptions of Coaching Competency Scale II-High School Teams

2009· article· en· W2066906964 on OpenAlex
Nicholas D. Myers, Melissa A. Chase, Mark R. Beauchamp, Ben Jackson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEducational and Psychological Measurement · 2009
Typearticle
Languageen
FieldPsychology
TopicSport Psychology and Performance
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychologyCoachingAthletesConfirmatory factor analysisApplied psychologyConstruct validityScale (ratio)Construct (python library)Exploratory factor analysisStructural equation modelingClinical psychologyPsychometricsStatisticsPhysical therapyMathematicsMedicine

Abstract

fetched live from OpenAlex

The purpose of this validity study was to improve measurement of athletes’ evaluations of their head coach’s coaching competency, an important multidimensional construct in models of coaching effectiveness. A revised version of the Coaching Competency Scale (CCS) was developed for athletes of high school teams (APCCS II-HST). Data were collected from athletes ( N = 748) of seven relevant sports. Athlete observations were clustered within teams ( G = 74). Multigroup confirmatory factor analyses of the asymptotic within-teams covariance matrix provided evidence for factorial invariance, except for one residual variance, by athlete gender ( n male = 427, n female = 321). An exploratory multilevel confirmatory factor analysis provided evidence for close fit of an oblique five-factor within-teams structure and a one-factor between-teams structure.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.296
Threshold uncertainty score0.989

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 integrity0.0000.000
Insufficient payload (model declined to judge)0.0120.000

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 head0.061
GPT teacher head0.350
Teacher spread0.289 · 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