Examination of Narcissistic Behaviors of Physical Education Teachers and Their Relationship with Job Satisfaction
Bibliographic record
Abstract
This study was conducted to reveal the relationships between physical education teachers’ narcissistic behaviors and job satisfaction. This research was designed in a correlational survey model, 195 physical education teachers, 41 females, and 154 males were selected by the simple random sampling among the physical education teachers working in Kırıkkale and Osmaniye provinces, participated in the study voluntarily. In the study, “Personal Information Form” was used to determine the demographic characteristics of the participants, “Narcissistic Personality Inventory-13 (NPI-13)” was used to determine the demographic characteristics of the participants, and the “Job Satisfaction Scale” was used to determine the level of job satisfaction. In the analysis of the data, it was decided whether the descriptive statistics (standard deviation, frequency, arithmetic mean) met the conditions of the parametric tests or not by looking at the Skewness and Kurtosis values and the Levene test results. Since the skewness and kurtosis values obtained in the study were between (-1) and (+1), the applicability of the parametric tests was decided and T-test, One-Way analysis of variance (ANOVA) Pearson correlation coefficient, and simple linear regression analysis were used. As a result of the study, it was determined that the narcissistic behaviors of physical education teachers were moderate and their job satisfaction was high. It was found that there is no significant relationship between narcissistic behaviors and job satisfaction p > 0.05. It was determined that the narcissistic behaviors showed a significant difference between the variables of educational status, age, and status of taking part in sportive activities p < 0.05. The results obtained from this research; showed that physical education teachers’ narcissistic behavior levels did not differ significantly according to gender and branch type, but it was concluded that there was a significant difference according to the variables of educational status, age, the status of taking part in sportive activities and the levels of narcissistic behavior did not affect the job satisfaction of physical education teachers in their professional lives.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".