A Mixed Methods Approach to Network Data Collection

Eric Rice, Ian W. Holloway, Anamika Barman-Adhikari, Dahlia Fuentes, C. Hendricks Brown, Lawrence A. Palinkas

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

There is a growing interest in examining network processes with a mix of qualitative and quantitative network data. Research has consistently shown that free recall name generators entail recall bias and result in missing data that affect the quality of social network data. This study describes a mixed methods approach for collecting social network data, combining a free recall name generator in the context of an online survey with network relations data coded from transcripts of semistructured qualitative interviews. The combined network provides substantially more information about the network space, both quantitatively and qualitatively. Although network density was relatively stable across networks generated from different data collection methodologies, there were noticeable differences in centrality and component structure across networks. The approach presented here involved limited participant burden and generated more complete data than either technique alone could provide. We make suggestions for further development of this method.

Original languageEnglish (US)
Pages (from-to)252-268
Number of pages17
JournalField Methods
Volume26
Issue number3
DOIs
StatePublished - Aug 1 2014

Keywords

  • data collection
  • mixed methods
  • online survey
  • qualitative interviews

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    Rice, E., Holloway, I. W., Barman-Adhikari, A., Fuentes, D., Brown, C. H., & Palinkas, L. A. (2014). A Mixed Methods Approach to Network Data Collection. Field Methods, 26(3), 252-268. https://doi.org/10.1177/1525822X13518168