A Mixed Methods Approach to Network Data Collection

• Published in: Field methods Vol. 26; no. 3; pp. 252 - 268
• Main Authors: Rice, Eric, Holloway, Ian W., Barman-Adhikari, Anamika, Fuentes, Dahlia, Brown, C. Hendricks, Palinkas, Lawrence A.
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01-08-2014
• Subjects: Bias; Centrality; Data collection; Internet; Methodology; Methodology (Data Collection); Network analysis; Qualitative analysis; Social Networks; Survey analysis; mixed methods; data collection; qualitative interviews; online survey
• ISSN: 1525-822X; 1552-3969
• DOI: 10.1177/1525822X13518168

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.