Using QSR‐NVivo to facilitate the development of a grounded theory project: an account of a worked example

This paper demonstrates how the software package QSR‐NVivo can be used to faciitate a grounded theory approach. Recent research evidence has questioned the methodological quality of many studies that claim to utilise grounded theory. This paper argues that qualitative data analysis software can be used to encourage good quality grounded theory research by facilitating many of the key processes and characteristics associated with this approach. To achieve this, the paper identifies a number of grounded theory characteristics, common to all revisions of the methodology. It then describes the development of a recent study, which examined how people successfully maintain long‐term physical activity behaviour change. The purpose of this is to demonstrate how different functions of QSR‐NVivo may be used in conjunction with the key grounded theory characteristics. In summary, QSR‐NVivo is a powerful tool that, if used appropriately, can facilitate many aspects of the grounded theory process from the design and early sampling procedures, through to the analysis of data, theoretical development and presentation of findings.

[1]  Chava Nachmias,et al.  Research Methods in the Social Sciences , 1976 .

[2]  M. Dixon-Woods,et al.  Conducting a critical interpretive synthesis of the literature on access to healthcare by vulnerable groups , 2006 .

[3]  J. A. Smith,et al.  The problem of appraising qualitative research , 2004, Quality and Safety in Health Care.

[4]  A. Strauss,et al.  The discovery of grounded theory: strategies for qualitative research aldine de gruyter , 1968 .

[5]  Christopher Gidlow,et al.  Socio-demographic patterning of referral, uptake and attendance in Physical Activity Referral Schemes. , 2007, Journal of public health.

[6]  I. Dey Grounding grounded theory : guidelines for qualitative inquiry , 1999 .

[7]  Jeff Breckon,et al.  Grounded Theory-Based Research within Exercise Psychology: A Critical Review , 2011 .

[8]  Anselm L. Strauss,et al.  Qualitative Analysis For Social Scientists , 1987 .

[9]  J. Hood,et al.  Orthodoxy vs. Power: The Defining Traits of Grounded Theory , 2007 .

[10]  Kristi Jackson,et al.  Qualitative Data Analysis with NVivo , 2007 .

[11]  N. Denzin,et al.  Handbook of Qualitative Research , 1994 .

[12]  Celia Brackenridge,et al.  Swimming Coaches’ Perceptions of Sexual Exploitation in Sport: A Preliminary Model of Role Conflict and Role Ambiguity , 2006 .

[13]  N. Holt,et al.  Toward a Grounded Theory of the Psychosocial Competencies and Environmental Conditions Associated with Soccer Success , 2004 .

[14]  Celia Brackenridge,et al.  Using Computer-Assisted Qualitative Data Analysis Software to Develop a Grounded Theory Project , 2004 .

[15]  N. Hoffart Basics of Qualitative Research: Techniques and Procedures for Developing Grounded Theory , 2000 .

[16]  K. Charmaz,et al.  The sage handbook of grounded theory , 2007 .

[17]  J. Bringer,et al.  Maximizing Transparency in a Doctoral Thesis1: The Complexities of Writing About the Use of QSR*NVIVO Within a Grounded Theory Study , 2004 .

[18]  Lynne Halley Johnston,et al.  Software and Method: Reflections on Teaching and Using QSR NVivo in Doctoral Research , 2006 .

[19]  Lyn Richards,et al.  Closeness to Data: The Changing Goals of Qualitative Data Handling , 1998 .

[20]  B. Glaser Theoretical Sensitivity: Advances in the Methodology of Grounded Theory , 1978 .

[21]  L. Richards Qualitative computing--a methods revolution? , 2002 .

[22]  Pamela Jordan Basics of qualitative research: Grounded theory procedures and techniques , 1994 .

[23]  M. Dixon-Woods,et al.  The problem of appraising qualitative research. , 2004 .

[24]  Charlie Foster,et al.  Factors associated with physical activity referral uptake and participation , 2008, Journal of sports sciences.