Development of a Decision Tree to Determine Appropriateness of NVivo in Analyzing Qualitative Data Sets

Garry W. Auld, Ann Diker, M. Ann Bock, Carol J. Boushey, Christine M. Bruhn, Mary Cluskey, Miriam Edlefsen, Dena L. Goldberg, Scottie L. Misner, Beth H. Olson, Marla Reicks, Changzheng Wang, Sahar Zaghloul

Research output: Contribution to journalArticle

43 Scopus citations

Abstract

A decision tree was developed to determine when NVivo is an appropriate tool for qualitative analysis. NVivo, a qualitative analysis software package, was used to analyze interviews of 204 Asian, Hispanic, and white parents in 12 states. The experience provided insight into issues that should be considered when deciding to use the software. NVivo can enhance the qualitative research process, quickly process queries, and expand analytical avenues. Before using, however, the following must be considered: training time, establishing inter-coder reliability, number and length of documents, coding time, coding structure, use of automated coding, and possible need for separate databases or additional supporting software.

Original languageEnglish (US)
Pages (from-to)37-47
Number of pages11
JournalJournal of Nutrition Education and Behavior
Volume39
Issue number1
DOIs
StatePublished - Jan 1 2007

Keywords

  • NVivo
  • qualitative analysis
  • software

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Nutrition and Dietetics

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    Auld, G. W., Diker, A., Bock, M. A., Boushey, C. J., Bruhn, C. M., Cluskey, M., Edlefsen, M., Goldberg, D. L., Misner, S. L., Olson, B. H., Reicks, M., Wang, C., & Zaghloul, S. (2007). Development of a Decision Tree to Determine Appropriateness of NVivo in Analyzing Qualitative Data Sets. Journal of Nutrition Education and Behavior, 39(1), 37-47. https://doi.org/10.1016/j.jneb.2006.09.006