NLP for stage anxiety: A qualitive research

dc.contributor.authorDoğan, Ceren
dc.contributor.authorDoğan, Ceren
dc.date.accessioned2019-11-04T09:39:24Z
dc.date.available2019-11-04T09:39:24Z
dc.date.created2019
dc.date.issued2019
dc.date.issuedyyyymmdd2019-09
dc.departmentFakülteler, Eğitim Fakültesi, Güzel Sanatlar Eğitimi Bölümü
dc.descriptionSözlü bildiri olarak sunulmuş, tam metin olarak yayınlanmıştır.
dc.description.abstractStage anxiety may disturb the spiritual health of the individual, especially as it may adversely affect the professional success of the people who perform music professionally. The use of beta-blockers, substances or alcohol at the presence of the musical performance may not be a solution oriented behavior. Within the light of these problems, this study aims to search the usage of Neuro-Lingiustic Programming, which is a collection of communication and behaviour change techniques, for relieving and treating stage anxiety. A qualitive design has been used for this research, interviews with the NLP experts and counseleees whom had previously gone through with NLP sessions for treating stage anxiety have been held. In addition, a session of stage anxiety treatment has been observed in order to enlighten the process. Snowball sampling method has been used for data collection. The findings were reported and suggestions were given.
dc.identifier.endpage460
dc.identifier.startpage454
dc.identifier.urihttp://ismelegacyconferenceistanbul.org/
dc.identifier.urihttps://hdl.handle.net/11772/1984
dc.language.isoen
dc.publisherInternational Society for Music Education
dc.relation.ispartofISME Legacy Conference Istanbul 2019 PROCEEDINGS & ABSTRACTS BOOK
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectStage anxiety
dc.subjectMusic performance
dc.subjectApplied music
dc.subjectMüzik performansı
dc.subjectUygulamalı müzik
dc.titleNLP for stage anxiety: A qualitive research
dc.typeConference Object
dspace.entity.typePublication
relation.isAuthorOfPublication838e325e-7f72-47db-b94a-3895e45ab83d
relation.isAuthorOfPublication.latestForDiscovery838e325e-7f72-47db-b94a-3895e45ab83d

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