Qualitative comparative analysis : an introduction to research design and application / Patrick A. Mello

By: Language: English Publication details: Washington, DC : Georgetown University Press, 2021Description: 241 pagesISBN:
  • 9781647121440
  • 1647121442
  • 9781647121457
  • 1647121450
Subject(s):
Contents:
Research design -- Set theory -- Causation and causal complexity -- Calibrating sets -- Measures of fit -- Set-theoretic analysis -- QCA variants -- QCA and its critics.
Summary: "Social phenomena can rarely be attributed to single causes. Drawing on set theory and the language of necessary and sufficient conditions, Qualitative Comparative Analysis (QCA) is a case-based research method that is ideally suited to capture causal complexity. QCA regards cases as combinations of conditions. It compares the conditions of each case in a structured way to identify the necessary and sufficient conditions for an outcome. While QCA has become increasingly popular and seen a substantial increase of applications across the social sciences and management, introductory textbooks have not kept pace with this development. In this textbook, Patrick A. Mello teaches students, scholars, and self-learners the fundamentals of QCA, research design, interpretation of results, and how to communicate findings. This concise and accessible textbook provides a hands-on introduction to QCA that will be ideal for use within a broader qualitative methods course and in intensive short courses"--
Item type: monograph
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Holdings
Current library Call number Status Date due Barcode
SIPRI Library and Documentation 31 Mello Checked out 2024-08-02 21/140

SIP2201

Includes bibliographical references and index.

Research design -- Set theory -- Causation and causal complexity -- Calibrating sets -- Measures of fit -- Set-theoretic analysis -- QCA variants -- QCA and its critics.

"Social phenomena can rarely be attributed to single causes. Drawing on set theory and the language of necessary and sufficient conditions, Qualitative Comparative Analysis (QCA) is a case-based research method that is ideally suited to capture causal complexity. QCA regards cases as combinations of conditions. It compares the conditions of each case in a structured way to identify the necessary and sufficient conditions for an outcome. While QCA has become increasingly popular and seen a substantial increase of applications across the social sciences and management, introductory textbooks have not kept pace with this development. In this textbook, Patrick A. Mello teaches students, scholars, and self-learners the fundamentals of QCA, research design, interpretation of results, and how to communicate findings. This concise and accessible textbook provides a hands-on introduction to QCA that will be ideal for use within a broader qualitative methods course and in intensive short courses"--

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