{"title":"Qualitative analysis","authors":"A. Williamon, J. Ginsborg, R. Perkins, G. Waddell","doi":"10.1093/oso/9780198714545.003.0009","DOIUrl":null,"url":null,"abstract":"Chapter 9 of Performing Music Research introduces the characteristics of qualitative analysis, focusing on the interpretative role of the researcher. Given that large volumes of information are typically collected in qualitative enquiry, the chapter presents ways of organizing and storing data and discusses the strengths and limitations of computer-assisted analysis. It goes on to discuss three types of qualitative analysis: thematic analysis, suitable for identifying patterns of meaning across data collected from multiple participants; interpretative phenomenological analysis (IPA), suitable for understanding the lived experience of individual participants; and qualitative synthesis, suitable for developing a holistic account based on a synthesis of the data. Throughout, the chapter explains how to report qualitative results efficiently and effectively.","PeriodicalId":285861,"journal":{"name":"Performing Music Research","volume":"179 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Performing Music Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1093/oso/9780198714545.003.0009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Chapter 9 of Performing Music Research introduces the characteristics of qualitative analysis, focusing on the interpretative role of the researcher. Given that large volumes of information are typically collected in qualitative enquiry, the chapter presents ways of organizing and storing data and discusses the strengths and limitations of computer-assisted analysis. It goes on to discuss three types of qualitative analysis: thematic analysis, suitable for identifying patterns of meaning across data collected from multiple participants; interpretative phenomenological analysis (IPA), suitable for understanding the lived experience of individual participants; and qualitative synthesis, suitable for developing a holistic account based on a synthesis of the data. Throughout, the chapter explains how to report qualitative results efficiently and effectively.