Qualitative Comparative Analysis Using R

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QCA with R

This book is a comprehensive guide to qualitative comparative analysis (QCA) using R. Using Boolean algebra to implement principles of comparison used by scholars engaged in the qualitative study of macro social phenomena, QCA acts as a bridge between the quantitative and the qualitative traditions. The QCA package for R, created by the author, facilitates QCA within a graphical user interface. This book provides the most current information on the latest version of the QCA package, which combines written commands with a cross-platform interface. Beginning with a brief introduction to the concept of QCA, this book moves from theory to calibration, from analysis to factorization, and hits on all the key areas of QCA in between. Chapters one through three are introductory, familiarizing the reader with R, the QCA package, and elementary set theory. The next few chapters introduce important applications of the package beginning with calibration, analysis of necessity, analysis of sufficiency, parameters of fit, negation and factorization, and the construction of Venn diagrams. The book concludes with extensions to the classical package, including temporal applications and panel data. Providing a practical introduction to an increasingly important research tool for the social sciences, this book will be indispensable for students, scholars, and practitioners interested in conducting qualitative research in political science, sociology, business and management, and evaluation studies.
Qualitative Comparative Analysis

Author: Patrick A. Mello
language: en
Publisher: Georgetown University Press
Release Date: 2021
"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"--
Qualitative Comparative Analysis Using R

Author: Ioana-Elena Oana
language: en
Publisher: Cambridge University Press
Release Date: 2021-10-28
"This book offers a hands-on introduction and teaching resource for students, users, and teachers of Qualitative Comparative Analysis (QCA; Ragin, 1987, 2000, 2008b). Given its superior ability to model certain aspects of complexity, QCA has made inroads into virtually every social science discipline and beyond. Software solutions for QCA have also been developing at a fast pace. This book seeks to reduce the time and effort required when we first encounter the logic of not just a new method but also new software. It offers a genuinely simple, intuitive, and hands-on resource for implementing the state-of-the-art protocol of QCA using R, the most advanced software environment for QCA. Our book has an applied and practical focus"--