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Latent class analysis : discovering and interpreting response patterns in coded interview data / George E. Mitchell.

By: Material type: TextSeries: SAGE research methods. CasesPublisher: London : SAGE Publications, 2014Description: 1 online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9781473963351 (ebook) :
Subject(s): DDC classification:
  • 300.72 23
LOC classification:
  • H62
Online resources: 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.
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Includes bibliographical references.

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.

Specialized.

Description based on online resource; title from home page (viewed on November 10, 2015).

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