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Record W1978366186 · doi:10.5430/wje.v4n5p86

Educational Service Quality in Zanjan University of Medical Sciences from Students' Point of View

2014· article· en· W1978366186 on OpenAlexvenueno aff
Ali Mohammadi, Jamshid Mohammadi

Bibliographic record

VenueWorld Journal of Education · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCustomer Service Quality and Loyalty
Canadian institutionsnot available
Fundersnot available
KeywordsSERVQUALService qualityStratified samplingQuality (philosophy)PsychologyDimension (graph theory)Service (business)Medical educationData collectionTest (biology)PerceptionApplied psychologyStatisticsMedicineMathematicsMarketingBusiness

Abstract

fetched live from OpenAlex

This study aims at evaluating perceived service quality in Zanjan University of Medical Sciences (ZUMS). Thisstudy was cross-sectional and authors surveyed educational services at ZUMS. Through stratified random sampling,384 students were selected and an adapted SERVQUAL instrument was used for data collection. Data analysis wasperformed by using SPSS 11.5. The results indicated that there were the negative mean score of quality gap in alldimensions of the service quality. Overall services quality mean was (-1.6±.78). The highest and lowest differencesof mean scores between students' expectations and perceptions were in the responsiveness and (-1.83±1.01) andreliability ((-1.33±.79) dimensions respectively. Paired t-test showed the significant statistical differences betweenstudents' expectations and perceptions (ρ < <0.001) in all dimensions of the service quality. Thus, improvementactions are felt in all domains of the educational service quality; Students rated the responsiveness as the mostimportant dimension of service quality in ZUMS.

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)0.003
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 score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.040
GPT teacher head0.337
Teacher spread0.298 · 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

Citations5
Published2014
Admission routes1
Has abstractyes

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