MétaCan
Menu
Back to cohort
Record W2921946574 · doi:10.5539/ies.v12n4p24

The Analysis of Academic Motivation and Career Stress Relationships of the Students in Department of Physical Education and Sport

2019· article· en· W2921946574 on OpenAlexvenueno aff
Turan Çetinkaya

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldPsychology
TopicMotivation and Self-Concept in Sports
Canadian institutionsnot available
Fundersnot available
KeywordsPsychologyPhysical educationConfirmatory factor analysisSportsmanshipRegression analysisScale (ratio)Test (biology)Stress (linguistics)Mathematics educationSocial psychologyStructural equation modelingStatistics

Abstract

fetched live from OpenAlex

The purpose of this study is to determine the levels of career stress and academic motivation of the students in the departments of physical education and sports. 527 students who receive education in Physical Education and Sports Academies of Ahi Evran University, Erciyes University, Dumlupınar University and Çanakkale 18 Mart University participated in the study. In this study, personal information form, career stress scale and academic motivation scale were used as data collection tools. In the comparison of relevant data, range, frequency, t test, Anova test and simple regression analysis were performed. Besides, Confirmatory Factor Analysis (CFA) was performed in order to reveal the factor structures of academic motivation and career stress scales. As a result of statistical analyzes, significant difference was not seen at levels of academic motivation and career stress for all dimensions in terms of the gender and certified sportsmanship variables of the participants. However, significant difference was seen in the total scores of identified extrinsic motivation, extrinsic motivation extrinsic regulation, career uncertainty, job finding pressure and career stress in terms of grade variable. According to the results of the regression analyzes performed, negative significant correlation was detected between the academic motivation and career stress levels of participants.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.208

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.409
Teacher spread0.353 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations23
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueInternational Education StudiesSame topicMotivation and Self-Concept in SportsFrench-language works237,207