This article describes the process of discovery used to convert interview data into a format readable into MultiNet for social network analysis. Based on the 2005 doctoral dissertation research of Willie McKether, the authors describe the steps used to collect and store interview data in Microsoft Word, the preparation process for exporting the interviews to ATLAS.ti for coding, the coding process, and the conversion path that allowed them to export the coded qualitative data from ATLAS.ti to SPSS and ultimately to MultiNet for social network analysis. This study is significant because it describes a replicable conversion technique that can be used by experienced scholars and those unfamiliar with the range of network analysis programs and conversion possibilities. OVERVIEWThis article describes the five-step process we used to convert narrative interview data into numerical data for social network analysis. In particular, we show how individual and whole networks embedded in narrative data can be drawn from interview data already collected or from planned interviews where open-ended questions will be used. The article and process we describe explain a process that allows quantitative and qualitative researchers to have the best of both worlds: They can code for individual and

Her research interests are in the areas of composites and fibrous materials and engineering education. She received her B.Sc. in Civil Engineering from the University of the West Indies in St. Augustine, Trinidad, her M.S. in Civil Engineering from the Massachusetts Institute of Technology, and her Ph.D. in Mechanical Engineering from the University of Michigan, Ann Arbor. She joined the faculty at the University of Toledo in 2004. As the Associate Dean of Diversity, Inclusion, and Community Engagement she leads the development and execution of initiatives and programs to facilitate the recruitment, retention, and success of women, students from underrepresented groups and first generation students. These duties are well aligned with her current research interests and external funding in engineering education.

The southern-led civil rights movement was an important transformational period in the history of African American life and culture in the USA. While we know much about the social, economic, and political activities that occurred in southern cities in the 10 years preceding the civil rights movement, we know less about how parallel social processes developed in urban northern communities between 1946 and 1960 and how they prepared the black church for radical politics during the civil rights period. Black migration to Saginaw, Michigan serves as a case study to show how middle class migrants were the causal mechanism that secularized black churches through their overlapping memberships in status groups, black churches and secular organizations, and how this population helped to prepare black churches in Saginaw (and much of the north) for radical politics on the eve of the civil rights movement.

Although social network analysis can contribute insight about social relationships embedded in ethnographic data, such as oral history interviews, seemingly few anthropologists use social network analysis as a method for examining ethnographic data. Expanding upon a study of an African American migration from southern regions of the United States to Saginaw, MI, this article uses network analysis to examine a 1967 dual mobilization network structure that emerged as two combative African American networks fought to increase black power in the small community. This research demonstrates that social network analysis can provide qualitative researchers insights not easily or even readily gained through simple narrative analysis. [network analysis, anthropological methods, social movement].

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