Online Journal of Music Sciences (Jun 2024)

AN EVALUATION OF THE SOCIETAL ACCEPTANCE OF FEMALE VOCALISTS IN THE ENTERTAINMENT SECTOR

  • Mehtap Uçar Tören ,
  • Nilgün Sazak

DOI
https://doi.org/10.31811/ojomus.1470454
Journal volume & issue
Vol. 9, no. 1
pp. 316 – 328

Abstract

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The purpose of this study is to evaluate the societal acceptance of female vocalists in the entertainment industry and to provide light on the social challenges they face. Considering the research issue, an exploratory qualitative technique was employed due to the paucity of studies in the literature. This study is important because it attempts to close this gap in the literature by highlighting the societal challenges that female vocalists working in the entertainment industry confront. A qualitative research strategy has been employed in the study's framework to look for a thorough answer to the research question, and content analysis will be done utilizing the data gathered from the one-on-one interview method. Interview questions created in answer to the research topic will be used to categorize the data in this exploratory study. This project, which focuses on female vocalists in Turkiye, will involve female vocalists in Sakarya. Diversification is designed to give the data as much variety as possible and to enrich the data. One-on-one interviews will be the method used to collect data for the study. First, interview questions tailored to this particular scenario will be developed, and professional opinions will be obtained while keeping in mind the study's objectives and the sources of literature. The interviews are then scheduled for November and December at Sakarya. After the research's data collection phase is complete, data analysis will begin. First, a code will be given to each participant. After then, the audio from the interviews will be turned into text. The investigator shall scrutinize the transcripts of the interviews and conduct the analysis utilizing the "content analysis method." Significant concepts will first be clarified and coded in data analysis to divide them into significant components. Similar codes will be combined to create themes, or categories. After the themes have been determined, the interview transcripts will be used to support them, and the conclusions will then be written.

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