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Record W4383550202 · doi:10.1080/1091367x.2023.2232772

Initial Validity Evidence for the Youth Interpersonal Behaviors Questionnaire in Sport (Y-IBQ)

2023· article· en· W4383550202 on OpenAlexaff
Meredith Wekesser, Karl Erickson, André G. Bateman, Jody L. Langdon, Kimberly S. Maier, Nicholas D. Myers

Bibliographic record

VenueMeasurement in Physical Education and Exercise Science · 2023
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsYork University
Fundersnot available
KeywordsInterpersonal communicationPsychologyAthletesInterpersonal relationshipExternal validityPerceptionClinical psychologyApplied psychologySocial psychologyMedicinePhysical therapy

Abstract

fetched live from OpenAlex

The Interpersonal Behaviors Questionnaire (IBQ) in Sport assesses athlete perceptions of coach interpersonal behaviors that support or thwart athletes’ basic psychological needs. While different sources of validity evidence for responses to the IBQ have been provided for adults, only validity evidence for relations to other variables has been provided with youth. Moreover, potential problems with internal structure for youths’ responses to the IBQ have recently been noted and motivated the current study. Specifically, a three-phase mixed-methods design was employed to provide validity evidence for modification of the IBQ for youth. Phase I empirically examined the internal structure for youth athletes’ responses to the IBQ. Phase II used cognitive think-aloud interviews to identify and then modify problematic IBQ items to create the Youth Interpersonal Behaviors Questionnaire in Sport (Y-IBQ). Phase III examined the psychometric properties of the Y-IBQ to provide initial validity evidence for this instrument in a youth athlete sample.

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)0.044
metaresearch head score (Gemma)0.082
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 score0.044
Threshold uncertainty score0.231

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0440.082
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.181
GPT teacher head0.421
Teacher spread0.239 · 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

Citations4
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMeasurement in Physical Education and Exercise ScienceSame topicMotivation and Self-Concept in SportsFrench-language works237,207