Whether for advanced researchers or those approaching the task for the first time, this clear, yet comprehensive guide is the perfect companion for anyone doing qualitative data analysis with NVivo.
Accompanied by video tutorials for both Mac and PC, web links and a host of other helpful online resources, this step-by-step book removes students′ anxiety about tackling data analysis. Empowers students to develop their critical thinking. Seamlessly interweaves theory and practice in easy-to-follow steps. The Third Edition: Contains fully integrated instructions for using NVivo on both Mac and PC, with screenshots and click-by-click guidance. Packed with real-world examples and case studies, the book supports students through every stage of qualitative data analysis. Drawing on their wealth of expertise, the authors offer detailed, practical advice that relates to students' own experience and research projects. BorrowDirect+ (search & browse partner libraries)Įngaging and accessible, this book offers students a complete guide to using NVivo for qualitative data analysis.Lippincott Library of the Wharton School.Kislak Center for Special Collections, Rare Books and Manuscripts.Qualitative Research in Psychology, (just-accepted). Jackson, Qualitative Data Analysis with NVivo. In Forum Qualitative Sozialforschung/Forum: Qualitative Social Research (Vol. Dealing with data: Using NVivo in the qualitative data analysis process. Furthermore, going through information manually helps the researcher gain a greater understanding of the intention of certain key words, which cannot always be gained when using a computer program. Overall, I see that this is a valuable program for coding when there is a large amount of qualitative data to be analyzed, but I prefer coding by hand when it is reasonable to do so because it allows me to have a greater degree of control over the terms I use to describe the information that I have collected. I do not believe that I would have coded this the same way if I were to do so by hand, which indicates that it may be necessary for me to make more specific requirements for the nodes. The screen capture from NVivo below indicates that only one job was listed, there is one positive characteristic that is not classified as “great person” or “leader”, and one characteristic in each of these sub-nodes. Nodes were grouped using this understanding in NVivo. “Leader” and “good person” would be two such of these terms. Therefore, the distinct jobs listed can be coded as “job” if this were to be done by hand, and the positive characteristics could be sorted to create a more general understanding of the individuals being described.
The first interviewee described this individual by listing jobs he is good at, the second individual noted positive characteristics of the person, and the third used a combination of these two approaches. The characteristics that were used to describe the person admired by my interviewees were described in a variety of ways.
For the purposes of this analysis, I focused on the description of the person that the participants’ admired so that I could compare the results I received using NVivo to the results I would receive by conducting the coding process by hand. Participants were asked to describe an individual they admire, describe how they define influential people, explain the relationship between this definition and the person they admire, describe why they admire a selected person, name characteristics that make the person admirable, and how this understanding impacts their ability to succeed in life.
To determine how to use NVivo to assess qualitative data, I interviewed three of my colleagues about someone they admired.
It is therefore necessary to use a combination of hand and software analysis when conducting qualitative studies. However, the software is not as much useful when we address the issues of reliability and validity in the thematic ideas (Welsh, 2002). Using NVivo software is beneficial because it allows coding to be done in an automated fashion, rather than by hand.
It helps in organizing, collecting, and analyzing the content from surveys, audios, interviews, social media, focus group, webpages and videos (Brandão, 2014). NVivo software facilitates the coding process. It is a software which quickly interrogates the data using visualization tools, query and a powerful search.
NVivo is a software that analyzes different forms of data which is unstructured.