Set-Theoretic Multi-Method Research

Carsten Q Schneider

ISBN 10: 1009307142 / ISBN 13: 9781009307147

Published by Cambridge University Press Feb 2024, 2024

About this Item

Neuware - A state-of-the-art comprehensive exposition of combining Qualitative Comparative Analysis (QCA) and case studies, this book facilitates the efficient use and independent learning of this form of SMMR (set-theoretic multi-method research) with the best available software. It will reduce the time and effort required when performing both QCA and case studies within the same research project. This is achieved by spelling out the conceptual principles and practices in SMMR, and by introducing a tailor-made R software package. With an applied and practical focus, this is an intuitive resource for implementing the most complete protocol of SMMR. Features include Learning Goals, Core Points, and Empirical Examples, as well as boxed examples of R codes and the R output it produces. There is also a glossary for key SMMR terms. Additional online material is available, comprising machine-readable datasets and R scripts for replication and independent learning.

Seller Inventory # 9781009307147

Bibliographic Details

• Title: Set-Theoretic Multi-Method Research
• Publisher: Cambridge University Press Feb 2024
• Publication Date: 2024
• Language: English
• ISBN 10: 1009307142
• ISBN 13: 9781009307147
• Binding: Buch
• Condition: Neu
• Dimensions: 229W x 152H x 16D millimeters 229 millimeters width by 152 millimeters height by 16 millimeters depth
• Weight: 531 grams

About this title

Synopsis

A state-of-the-art comprehensive exposition of combining Qualitative Comparative Analysis (QCA) and case studies, this book facilitates the efficient use and independent learning of this form of SMMR (set-theoretic multi-method research) with the best available software. It will reduce the time and effort required when performing both QCA and case studies within the same research project. This is achieved by spelling out the conceptual principles and practices in SMMR, and by introducing a tailor-made R software package. With an applied and practical focus, this is an intuitive resource for implementing the most complete protocol of SMMR. Features include Learning Goals, Core Points, and Empirical Examples, as well as boxed examples of R codes and the R output it produces. There is also a glossary for key SMMR terms. Additional online material is available, comprising machine-readable datasets and R scripts for replication and independent learning.

About the Author

Carsten Q. Schneider is Pro-Rector for External Relations and Professor of Political Science at Central European University (CEU). He teaches set-theoretic methods worldwide and his research in comparative politics and social science methodology has appeared in leading international journals and publishing houses.