Predicting Student Satisfaction with an Emphasis on Campus Recreational Sports and Cultural Facilities in a Turkish University
Bibliographic record
Abstract
The main purpose of this paper was to determine the predictors of student satisfaction focusing on campus recreational sports and cultural facilities. The present study utilized data from a written-questionnaire administered to one thousand adult undergraduate students. The dependent variable used in predicting student satisfaction was satisfaction levels of the respondents. Due to the ordinal nature of the dependent variable, an ordered logit model was performed to determine demographic and socio-economic determinants of campus sports and cultural facility satisfaction. Ordered logit estimation results revealed that younger aged, higher income, tuition loan holder, classical or folk music listener students studying in social sciences were less likely to have higher satisfaction than their counterparts. In addition, for many selected services, most of the students declared their dissatisfaction. Although there is an increasing number of studies conducted on student satisfaction in the existing literature, studies focusing on campus sports and cultural facility satisfaction are limited. This study is probably the first attempt to examine the predictors of campus sports and cultural facility satisfaction in northeastern Turkey using one of the categorical data estimation method.
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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 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".