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Record W2979524923 · doi:10.5539/ies.v12n11p18

The Effect of Classical Music on Anxiety and Well-Being of University Students

2019· article· en· W2979524923 on OpenAlexvenueno aff
Devrim Erginsoy Osmanoğlu, Hüseyin Yılmaz

Bibliographic record

VenueInternational Education Studies · 2019
Typearticle
Languageen
FieldPsychology
TopicMusic Therapy and Health
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningPsychologyAnxietyClassical musicMusic educationTraitClinical psychologyDevelopmental psychologyPedagogyPsychotherapistPsychiatryLiteratureArt

Abstract

fetched live from OpenAlex

Psychological and spiritual effects of music on people have been revealed by various studies and still continue to be investigated. The sound which has existed since the first formation of the universe; and music and music therapy which are as old as the history of mankind have constituted one of the treatment methods widely investigated at hospitals and universities. In the daily lives of people, anxiety, stress, well-being and similar phenomena clearly remain in the foreground. The current study is an experimental study designed to determine the effect of listening to classical music on anxiety and well-being. The sampling of the study is comprised of senior students in an education faculty. A total of 15 students (7 females and 8 males) participated in the current study. The data were collected with the State-Trait Anxiety Scale and the Psychological Well-being Scale. In the analysis of the data, Paired Sample t-Test was used. The findings of the current study have revealed that while listening to classical music for a 60-day period (listening to classical music ever day according to a music listening schedule) did not have any significant effect on the students’ State Anxiety scores, it led to a statistically significant effect on their Trait Anxiety and Psychological Well-being scores (t=3,451 P

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 score0.119
Threshold uncertainty score0.160

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 head0.026
GPT teacher head0.402
Teacher spread0.376 · 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

Citations39
Published2019
Admission routes1
Has abstractyes

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