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Record W2570953066 · doi:10.5539/jel.v6n1p322

Examination of the Relationship between Organizational Stress and Employee Performance: A Research on Staff Working on Provincial Directorate of Youth and Sports

2017· article· en· W2570953066 on OpenAlexvenueno aff
Ali Gürel GÖKSEL, Çağdaş Caz, Ömer Faruk YAZICI, Huseyin Can Ikizler

Bibliographic record

VenueJournal of Education and Learning · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducational Leadership and Administration
Canadian institutionsnot available
Fundersnot available
KeywordsTurkishPsychologyDescriptive statisticsMarital statusTest (biology)Scale (ratio)Data collectionApplied psychologyLikert scaleSocial psychologyStatisticsSociologyMathematicsDemographyPopulationGeographyDevelopmental psychology

Abstract

fetched live from OpenAlex

The purpose of this research is to study the relation between the level of organizational stress at the staff of the Youth Services and Sports Provincial Directorate and their performance. The study group of research, Istanbul province in the Uskudar district officials operating in the Youth Services and Sports Provincial Directorate constitute a total of 96 staff, including 36 women and 60 men. In this research, “Job Strain Questionnaire Scale” that was developed firstly by Theorell et al. (1988) and adapted to Turkish by Yildirim et al. (2011) together with “Employee Performance Scale” that was developed by Kirkman and Rosen (1999) and adapted to Turkish by Col (2008) were used to collect data. In the evaluation of data as statistical analyzes; descriptive statistics, for independent groups t-test, one way analysis of variance (Anova) and Pearson Correlation test was used to determine the relationship between the dependent variables. As a result of the research; participants’ employee performance showed significant differences according to marital status variables, there were no significant differences for organizational stress. In addition, there were no significant relationships between employee performance and organizational stress of the employees were determined.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
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 head0.198
GPT teacher head0.418
Teacher spread0.220 · 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 source (direct Gemma or distilled Codex), 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

Citations9
Published2017
Admission routes1
Has abstractyes

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