Latent Class Analysis: Discovering and Interpreting Response Patterns in Coded Interview Data

Abstract

In this case, I explain how I combined computer-aided qualitative data analysis and latent class analysis to discover patterns of conceptual association in coded interview data. I explain how I 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, I explain how I 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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