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Record W2952875047 · doi:10.5539/gjhs.v11n8p23

Music Intervention for Perceived Stress Among English Education Students

2019· article· en· W2952875047 on OpenAlexvenueno aff
Edith Nwakaego Nwokenna, Nneka Nwosu, Uche Lebechi Igbokwe, Vera Victor-Aigbodion, Ogechi Nnamani, Bartholomew C. Nwefuru

Bibliographic record

VenueGlobal Journal of Health Science · 2019
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsnot available
Fundersnot available
KeywordsIntervention (counseling)Stress reductionStress (linguistics)BurnoutPerceived Stress ScaleMedicineRepeated measures designStatistical significancePsychologyRandomized controlled trialSignificant differenceClinical psychologyNursing

Abstract

fetched live from OpenAlex

OBJECTIVE/BACKGROUND: This research objective was to examine the effect of music intervention on perceived stress among English education students. METHOD: Out of 200 students surveyed, 56 English education undergraduate students who were having high-stress level participated in the study. The 56 eligible participants were randomized into one of two study groups: music intervention group (n = 28) and waitlist control group (n = 28) using computer-generated random numbers. All participants completed baseline evaluation and posttests at 4, 8 and 12 weeks. Participants completed the Perceived Stress Scale. The statistical tool used for data analysis was within and between ANOVA. RESULT: There was a significant difference in perceived stress between English education students in the music intervention group and waitlisted group. Significant reduction in the level of perceived stress among English education students was observed in the music intervention group, but the waitlisted group demonstrated no significant reduction in their stress score both at 4, 8 and 12 weeks posttests respectively. CONCLUSION: Music intervention is an effective means of handling stress among English education students. Further studies are required to investigate the role of music therapy in burnout reduction among English education students in Nigerian universities.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.405

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.435
Teacher spread0.400 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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