TY - JOUR
T1 - Using NVivo to answer the challenges of qualitative research in professional communication
T2 - Benefits and best practices: Tutorial
AU - Hoover, Ryan S.
AU - Koerber, Amy L.
N1 - Funding Information:
The tutorial’s main goal is not to offer step-by-step instructions for basic functions in NVivo; that information is available elsewhere, and a journal article such as this does not allow enough space to adequately cover all of the basic software functions anyway. However, we have included an Appendix that provides a walk-through showing how NVivo can be used to solve one of the problems faced by the researcher in our opening scenario: the problem of analyzing data from a multitude of data types. The information presented here is based on a combination of a literature review of texts from other disciplines and observations from our own use of NVivo software. Specifically, each coauthor has used NVivo extensively on a research project in the last year. The first author has used NVivo in an Institutional Review Board (IRB)-approved study of the rhetoric involved in the grant-application process of the National Science Foundation (NSF). The NSF project was based on 19 interviews and two focus groups with applicants, reviewers, and employees of the NSF. It also involved extensive analysis of NSF-published documents and applications shared by those who had been interviewed. The second author has used NVivo in an IRB-approved, interdisciplinary focus-group study aimed at understanding infant-feeding practices in the author’s local area.
PY - 2011/3
Y1 - 2011/3
N2 - Recent updates in qualitative data-analysis software have provided the qualitative researcher in professional communication with powerful tools to assist in the research process. In this tutorial, we provide a brief overview of what software choices are available and discuss features of NVivo, one prominent choice. We then use our experiences with the software to discuss how it enhances three specific dimensions of our research: efficiency, multiplicity, and transparency. We end with a compilation of best practices for using the software.
AB - Recent updates in qualitative data-analysis software have provided the qualitative researcher in professional communication with powerful tools to assist in the research process. In this tutorial, we provide a brief overview of what software choices are available and discuss features of NVivo, one prominent choice. We then use our experiences with the software to discuss how it enhances three specific dimensions of our research: efficiency, multiplicity, and transparency. We end with a compilation of best practices for using the software.
KW - CAQDAS
KW - NVivo
KW - Qualitative data-analysis software
KW - Qualitative research
UR - http://www.scopus.com/inward/record.url?scp=79951965243&partnerID=8YFLogxK
U2 - 10.1109/TPC.2009.2036896
DO - 10.1109/TPC.2009.2036896
M3 - Article
AN - SCOPUS:79951965243
VL - 54
SP - 68
EP - 82
JO - IEEE Transactions on Professional Communication
JF - IEEE Transactions on Professional Communication
SN - 0361-1434
IS - 1
M1 - 5337919
ER -