Adaptation of the “Attitudes Toward Physical Activity Scale” for Higher Education Students in Turkey
Bibliographic record
Abstract
The purpose of this study was to adapt the “Attitudes toward Physical Activity Scale” (APAS) for Turkish higher education students. Study was conducted during 2018–2019 autumn semester at a public university in the central Anatolia region of Turkey. The APAS was applied to 1021 voluntary university students from eleven different faculties and departments of the university. Descriptive statistics, exploratory and confirmatory factor analyses, internal consistency coefficients were used in statistical analysis. Exploratory factor analysis revealed a six factor solution explaining 60.2% of the variance. Then, confirmatory factor analysis on the 38 items showed good fit to the 6-dimension model according to the goodness-of-fit criteria. The psychometric data of the scale showed that the Turkish version of the scale for higher education students reached the required levels. As a result, the “Attitudes toward Physical Activity Scale” can be used in reliable and valid way at higher education students in Turkey at national or cross-cultural studies in examining physical activity attitudes.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 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".