AIM: To illustrate an approach to data analysis in qualitative case study methodology. BACKGROUND: There is often little detail in case study research about how data were analysed. However, it is important that comprehensive analysis procedures are used because there are often large sets of data from multiple sources of evidence. Furthermore, the ability to describe in detail how the analysis was conducted ensures rigour in reporting qualitative research. DATA SOURCES: The research example used is a multiple case study that explored the role of the clinical skills laboratory in preparing students for the real world of practice. Data analysis was conducted using a framework guided by the four stages of analysis outlined by Morse ( 1994 ): comprehending, synthesising, theorising and recontextualising. The specific strategies for analysis in these stages centred on the work of Miles and Huberman ( 1994 ), which has been successfully used in case study research. The data were managed using NVivo software. REVIEW METHODS: Literature examining qualitative data analysis was reviewed and strategies illustrated by the case study example provided. Discussion Each stage of the analysis framework is described with illustration from the research example for the purpose of highlighting the benefits of a systematic approach to handling large data sets from multiple sources. CONCLUSION: By providing an example of how each stage of the analysis was conducted, it is hoped that researchers will be able to consider the benefits of such an approach to their own case study analysis. IMPLICATIONS FOR RESEARCH/PRACTICE: This paper illustrates specific strategies that can be employed when conducting data analysis in case study research and other qualitative research designs.
AIM: To illustrate an approach to data analysis in qualitative case study methodology. BACKGROUND: There is often little detail in case study research about how data were analysed. However, it is important that comprehensive analysis procedures are used because there are often large sets of data from multiple sources of evidence. Furthermore, the ability to describe in detail how the analysis was conducted ensures rigour in reporting qualitative research. DATA SOURCES: The research example used is a multiple case study that explored the role of the clinical skills laboratory in preparing students for the real world of practice. Data analysis was conducted using a framework guided by the four stages of analysis outlined by Morse ( 1994 ): comprehending, synthesising, theorising and recontextualising. The specific strategies for analysis in these stages centred on the work of Miles and Huberman ( 1994 ), which has been successfully used in case study research. The data were managed using NVivo software. REVIEW METHODS: Literature examining qualitative data analysis was reviewed and strategies illustrated by the case study example provided. Discussion Each stage of the analysis framework is described with illustration from the research example for the purpose of highlighting the benefits of a systematic approach to handling large data sets from multiple sources. CONCLUSION: By providing an example of how each stage of the analysis was conducted, it is hoped that researchers will be able to consider the benefits of such an approach to their own case study analysis. IMPLICATIONS FOR RESEARCH/PRACTICE: This paper illustrates specific strategies that can be employed when conducting data analysis in case study research and other qualitative research designs.
Keywords:
Case study data analysis; case study research methodology; clinical skills research; qualitative case study methodology; qualitative data analysis; qualitative research
Authors: Abd Moain Abu Dabrh; Kasey R Boehmer; Nathan Shippee; Stacey A Rizza; Adam I Perlman; Sara R Dick; Emma M Behnken; Victor M Montori Journal: BMC Health Serv Res Date: 2021-01-06 Impact factor: 2.908