Tag: Georgetown University Press

  • QCA Book Published with Georgetown University Press

    Georgetown University Press has just published my QCA textbook Qualitative Comparative Analysis: An Introduction to Research Design and Application. Following an ideal-typical research cycle, the book’s ten chapters cover the methodological basis and analytical routine of QCA, as well as matters of research design, causation and causal complexity, and QCA variants. A comprehensive glossary helps to clarify frequently used terms. The book is complemented by an accessible online R manual to help new users practice QCA’s analytical steps on sample data and then implement those steps with their own findings. The book further contains boxes by other authors from across the social sciences, who are reflecting on their own QCA applications and their use of specific variants of the method. For more information, reviews, and online material, please click the button below.

  • QCA Textbook with Georgetown UP

    Georgetown University Press has finalized the cover for my forthcoming textbook Qualitative Comparative Analysis: An Introduction to Research Design and Application, to be published later this year. More information about the book can be found here.

  • QCA: Research Design & Application

    Image: Georgetown University Press

    Textbook on Qualitative Comparative Analysis

    My book Qualitative Comparative Analysis: Research Design and Application provides a hands-on introduction to Qualitative Comparative Analysis (QCA) – emphasizing research design, practical application, and real-life examples from published studies. Beginners are taken through each step in the research process so as to apply the procedures to their own projects. Experienced users will refresh their knowledge of QCA, including discussions of best practices, the critical reception of QCA, recent trends, and new ways to apply the method. Both groups will profit from many illustrated examples across the social sciences, and a compendium of suggestions to improve QCA research design, the interpretation of findings, and the presentation of results. The book is complemented by a concise R Manual.

    The book is under contract with Georgetown University Press, Washington, DC.

    Pre-prints of selected chapters: Introduction, Set Theory, Calibrating Sets, Measures of Fit (versions: July 2019).

    Supplementary Online Material (R scripts, data sets) will be made available upon publication (scheduled for 2020).