Introducing the Questionnaire of Commitment to Exercise
Bibliographic record
Abstract
The present study aimed to make and establish psychometric features of an exercise commitment questionnaire. The primary 35 questions were administered to 210 staffs working in Isfahan Steel Company, 120 males and 90 females. Subjects had 10 years of work experience in the company and were randomly selected using stratified sampling method. Principle component analysis and Varimax rotation were used to measure its construct validity. Finally, 25 questions were extracted with more than 0.5 loading factor indicating the validity of the instrument. Accordingly, a four-factor construct was made, being capable of explaining 58.4 percent of total variance by the use of principle component method. Results of the confirmatory factor analysis yielded features indicating positive fitness of the confirmatory analytic model of the commitment to exercise questionnaire. Also by using internal consistency reliability was calculated with Cronbach’s alpha and the coefficient was 0.873 showing strong reliability. Overall, based on the satisfactory reliability and validity, this study shows that commitment to exercise questionnaire serves as a suitable measuring tool for the future research.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".