Turkish Adaptation of Behavioral Regulations in Sports Questionaire and Reviewing Psychometry Properties: Validation and Reliability Study
Bibliographic record
Abstract
Purpose of this study is to adapt Behavioral Regulation in Sports Questionaire (BRSQ) which developed by Lonsdale, Hodge and Rose (2008) in Turkish and review psychometry properties. The scale consists of 24 items and 6 subdimension including intrinsic motivation, integrated regulation, identitied regulation, introjected regulation, external regulation and amotivation. Study group consists of total 681 student- athlete whom are licensed athletes and study at Physical Education and Sports College of Ahi Evran University, Erciyes University, Dumlupinar University and Çanakkale 18 Mart University. In order to determine psychometry properties of scale internal consistency, material and factor analysis and test- retest methods were applied. Cronbach alpha internal consistency coefficient of the measurement determined as follows; 0.790 for total points, 0.856 for intrinsic motivation subdimension, 0.838 for integrated regulation subdimension, 0.862 for identitied regulation subdimension, 0.740 for introjected regulation subdimension, 0.788 for external regulation subdimension and 0.800 for amotivation subdimension. In the analyzes performed, the data obtained from the exploratory and confirmatory factor analysis confirmed the 6-factor structure of the scale. In addition, scale-based analyzes yielded high test-retest scores. In this sense, it is considered that the scale is a valid and reliable measurement tool for the Turkish sample group.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".