From Interviews to Social Network Analysis: An Approach for Revealing Social Networks Embedded in Narrative Data

Autor:	Kenneth Riopelle, Willie L. McKether, Julia C. Gluesing
Rok vydání:	2009
Předmět:	World Wide Web Computer science Anthropology Word processing Qualitative property Narrative Organizational network analysis MultiNet Data science Interview data Network analysis Coding (social sciences)
Zdroj:	Field Methods. 21:154-180
ISSN:	1552-3969 1525-822X
DOI:	10.1177/1525822x08329697
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::68f6fd60c20cb6f1dd0bd1f9fd0db958 https://doi.org/10.1177/1525822x08329697 Zobrazit plný text záznamu