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Record W3213775312 · doi:10.5539/hes.v11n4p91

Level up the life!! Leisure Involvement, Basic Psychological Need Satisfaction and Life Satisfaction among University Students

2021· article· en· W3213775312 on OpenAlexvenueno aff
Feyza Meryem Kara, Halil Sarol

Bibliographic record

VenueHigher Education Studies · 2021
Typearticle
Languageen
FieldPsychology
TopicRecreation, Leisure, Wilderness Management
Canadian institutionsnot available
Fundersnot available
KeywordsFeelingPsychologyLife satisfactionMultivariate analysis of varianceScale (ratio)AutonomyLeisure satisfactionSelf-determination theoryClinical psychologySocial psychologyGerontologyMedicine

Abstract

fetched live from OpenAlex

Leisure participation, life satisfaction, and psychological needs stand out as concepts that are closely related to each other especially in exercise participation. The purpose of this study is to determine and analyze leisure involvement, basic psychological need satisfaction, and life satisfaction level concerning some variables among university students who are regular exercise participants. Study participants comprised a total of 428 university students who were regular exercise participants. The participants, who were chosen using a convenience sampling method, completed the “Modified Involvement Scale” (MIS), “Basic Psychological Needs in Exercise Scale” (BPNES) and Life Satisfaction Scale” (LSS). T-test, MANOVA, and correlation analysis were used to analyze the data. Results indicated that the main effect of gender was significant on “MIS” “BPNES” and “LSS” in favor of male participants. There were significant effects of type of exercise in favor of individual exercise participants. Further, there were statistically significant correlations between all scales. Participation in leisure activities positively affects the person’s perspectives on all areas of life and determines the individual's feelings like autonomy, competency, and feeling more related to their lives. The findings of this study also give useful insights into exercise psychology research and provide suggestions for future research.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.117
GPT teacher head0.385
Teacher spread0.267 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations20
Published2021
Admission routes1
Has abstractyes

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