Turkish Adaptation of Caring Climate Scale and Reviewing Psychometry Properties: Validation and Reliability Study
Bibliographic record
Abstract
The research objective in this study is to make adaptation of Caring Climate Scale (CCS) that is developed by Newton et al. (in 2007) to Turkish and examine its psychometric properties. The scale comprises of one-dimension and 13 items. 468 students who have been studying and doing physical exercise as certified athletes in the following Schools of Physical Education and Sports of Ahi Evran University, Marmara University, Akdeniz University, Selcuk University and Ege University constitute the research group of the study. Internal consistency, factor analysis of substance, test-retest and criterion-related validity studies applied for determining the psychometric properties of scale. The Cronbach’s alpha internal consistency coefficient value of the scale was determined as 0.801 for total point. The obtained data from the exploratory and confirmatory factor analysis has corroborative features for the single-factor structure of scale. Besides, the scale provided high-test–test-retest scores in analyses conducted. In this context, it is evaluated that the scale is a valid and reliable measuring instrument for Turkish sample group.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".