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A Qualitative Framework for Collecting and Analyzing Data in Focus Group Research
Author(s) -
Anthony J. Onwuegbuzie,
Wendy B. Dickinson,
Nancy L. Leech,
Annmarie Gorenc Zoran
Publication year - 2009
Publication title -
international journal of qualitative methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.414
H-Index - 29
ISSN - 1609-4069
DOI - 10.1177/160940690900800301
Subject(s) - focus group , focus (optics) , qualitative research , conversation , qualitative property , computer science , group (periodic table) , communication in small groups , data science , psychology , social psychology , sociology , communication , social science , optics , physics , machine learning , anthropology , organic chemistry , chemistry
Despite the abundance of published material on conducting focus groups, scant specific information exists on how to analyze focus group data in social science research. Thus, the authors provide a new qualitative framework for collecting and analyzing focus group data. First, they identify types of data that can be collected during focus groups. Second, they identify the qualitative data analysis techniques best suited for analyzing these data. Third, they introduce what they term as a micro-interlocutor analysis, wherein meticulous information about which participant responds to each question, the order in which each participant responds, response characteristics, the nonverbal communication used, and the like is collected, analyzed, and interpreted. They conceptualize how conversation analysis offers great potential for analyzing focus group data. They believe that their framework goes far beyond analyzing only the verbal communication of focus group participants, thereby increasing the rigor of focus group analyses in social science research

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