The Investigation of the Relationship between Happiness Levels of the Faculty of Sports Sciences and the Levels of Life Satisfaction and Optimism
Bibliographic record
Abstract
The aim of this study is to investigate the relationship between happiness levels of university students with levels oflife satisfaction and optimism. The study sample consists of 318 freshmen, sophomore, junior, and senior studentsrandomly selected from the departments of Physical Education and Sports Teaching, Coaching Education, SportsManagement, and Recreation Education of Faculty of Sports Sciences, Erciyes University, Turkey.Happiness Scale, Satisfaction with Life Scale, and Life Orientation Scale, as well as “Personal Information Form”prepared by the researcher were used as the data collection tools for the purpose of this research.The data obtained from Personal Information Form, Happiness Scale, Satisfaction with Life Scale, and LifeOrientation Scale was analyzed statistically with SPSS 20.0 package program. Personal information and inventorytotal scores, as well as factor scores for the candidates, are given by determining the frequency (f) and percentage (%)values. To determine the relationship between the scores obtained from the scales, Pearson Product MomentCorrelation Analysis (r), and to determine whether obtained scores are predicting each other or not, multipleregression analysis (β) were applied.As a result, happiness was found to have a high-level positive relation with life satisfaction and optimism.Considering the psychological aspects of the curriculum applied to prospective teachers, increasing the level ofhappiness will contribute to educating more qualified teachers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".