MétaCan
Menu
Back to cohort
Record W1981820612 · doi:10.5539/ijps.v6n3p24

Is Test Anxiety a Problem Among Medical Students: A Cross Sectional Study on Outcome of Test Anxiety among Medical Students?

2014· article· en· W1981820612 on OpenAlexvenueno aff
Coumaravelou Saravanan, Kingston Rajiah, May Gin

Bibliographic record

VenueInternational Journal of Psychological Studies · 2014
Typearticle
Languageen
FieldMedicine
TopicMedical Education and Admissions
Canadian institutionsnot available
FundersInternational Medical University
KeywordsAmotivationAnxietyTest anxietyPsychologyPsychological distressDistressClinical psychologyTest (biology)PsychiatryIntrinsic motivationSocial psychology

Abstract

fetched live from OpenAlex

Pathological anxiety towards an exam intensifies psychological distress and reduces academic motivation. The present study aimed to identify the prevalence of test anxiety and psychological distress. Additionally, the present study examined the extent to which test anxiety predicts psychological distress and academic motivation. Westside Text Anxiety Scale (WTAS), Kessler Psychological Distress Scale (K-10) and Academic Motivation Scale (AMS) were administered among 154 first year undergraduate medical students attending a private university in Malaysia. The results showed that 18.2 (n = 28) percent of medical students experienced test anxiety and 53.9 (n = 83) percent of them were psychological distressed. Further, results showed that test anxiety positively correlated with psychological distress and amotivation. Test anxiety is a significant predictor of psychological distress and amotivation. Over all, medical students who experience test anxiety tend to experience high psychological distress and amotivation in their studies.

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)0.005
metaresearch head score (Gemma)0.043
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient 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 score0.038
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.043
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.081
GPT teacher head0.509
Teacher spread0.428 · 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

Citations40
Published2014
Admission routes1
Has abstractyes

Explore more

Same venueInternational Journal of Psychological StudiesSame topicMedical Education and AdmissionsFrench-language works237,207