Perceived Social Support in Recreational Activity Participation: A Study on Students
Bibliographic record
Abstract
The purpose of this study is to examine university students’ perceived social support level in recreational activity participation. 536 students who were selected from 3 different universities using convenience sampling participated in the study voluntarily. As data collection form; Perceived Social Support Scale (PSSS-R) and Preference Factors of Recreation Areas (PFRA) scale were used. For the analyses of the data; descriptive statistics, Independent Samples T Test used for two groups depending on the number of the variables and One Way ANOVA used for groups more than two were used. In order to find out which group demonstrated the difference found as a result of variance analyses, Tukey test -one of the multiple comparison tests- was used. In terms of recreational activity participation, the most effective factor in students’ average scores of perceived social support scale was peer support (2.690±0.372) while the least effective factor was teacher support (2.033±0.535). Total average score was found to be 2.441±0.274. The most effective factor in students’ average scores of Recreation Area Preference Agents Scale was sporting diversity (4.448±0.776) and staff (4.128±0.681) and these factors were followed by physical facilities (3.736±0.562), location (3.185±0.647) and activity diversity (3.074±0.586); respectively. Besides, there were significant differences in perceived social support levels of the study group in terms of gender and accommodation variables. It was concluded that the highest support for students’ recreational activity participation came from their peers while the lowest support was obtained from teachers. It may be argued that students staying at public dormitories used recreational areas built by municipalities more than other students. It was identified that criterion that all the student groups put the biggest emphasis on while preferring recreation areas was sporting diversity offered by the recreation areas.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".