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Latent class analysis : discovering and interpreting response patterns in coded interview data /

Mitchell combined computer-aided qualitative data analysis and latent class analysis to discover patterns of conceptual association in coded interview data. He explains how he developed the method in the context of the transnational nongovernmental organization interview study, a major research unde...

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Bibliographic Details
Main Author: Mitchell, George E. (Associate professor) (Author)
Format: eBook
Language:English
Published: [Los Angeles, California] : SAGE, 2014.
Series:SAGE research methods. Cases.
Subjects:
Interviewing in sociology > Case studies.
Cluster analysis > Case studies.
Entretiens (Sociologie) > Études de cas.
Classification automatique (Statistique) > Études de cas.
Cluster analysis
Interviewing in sociology
Electronic books.
Case studies
Online Access:Connect to the full text of this electronic book
Description
Summary:Mitchell combined computer-aided qualitative data analysis and latent class analysis to discover patterns of conceptual association in coded interview data. He explains how he developed the method in the context of the transnational nongovernmental organization interview study, a major research undertaking that involved in-depth, face-to-face interviews with 152 nongovernmental organization leaders. As a tangible example, he explains how he analyzed how nongovernmental organization leaders defined organizational effectiveness. The general method can also be applied to analyze sets of 'select all that apply' type items found in conventional surveys.
Physical Description:1 online resource
Bibliography:Includes bibliographical references.
ISBN:9781473963351
1473963354