The Relationship between Psychological Capital, Job Performance and Job Satisfaction in Higher Education Institutions Offering Sports Education
Bibliographic record
Abstract
Psychological capital, which is one of the developing areas of positive organizational behavior, is seen as a psychological resource that can encourage development and performance among employees. In the field of sports education, increasing the psychological capital levels of the employees and increasing the performance and job satisfaction can be effective. The aim of this study is to determine the psychological capital, job performance and job satisfaction levels of academic staff working in higher education institutions offering sports education in terms of various variables and to examine the relationship between them. The study sample consisted of a total of 122 sports science academicians, including 30 female and 92 males, who worked in different regions of Turkey. The Organizational Psychological Capital Scale, Job Performance and Job Satisfaction Scales were used as data collection tools in the study. The data were analyzed using descriptive statistics, t-test, ANOVA, Tukey HSD and correlation test. According to the findings obtained in the research, a high level of positive correlation was found between the psychological capital dimensions and job performance. Again, a moderately positive correlation was found between the psychological resilience, hope and self-efficacy dimensions of the psychological capital and job satisfaction.
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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 | 0.000 | 0.000 |
| 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 | 0.000 |
| 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".