Necessary Condition Analysis (NCA)
Principles and Application
Format:Hardback
Publisher:Taylor & Francis Ltd
Publishing:24th Sep '26
£124.99
This title is due to be published on 24th September, and will be despatched as soon as possible.
Necessary Condition Analysis (NCA) is a new research method for data analysis. Its unique feature is the use of ‘necessary but not sufficient’ logic to detect the critical ‘must have’ factors in datasets, rather than average effects. This book introduces this methodology at an advanced level, taking readers through the theoretical underpinning and its varied application in empirical research across the social sciences and beyond. Aimed at PhD students and researchers, data analysts, practitioners, and others, the book helps readers develop a deeper understanding of the NCA approach and apply it effectively and with high-quality standards. It brings together the fundamentals of NCA and integrates the most recent methodological advancements and tools. No prior knowledge of NCA is required but readers would benefit from familiarity with the basics of research methodology.
Key features:
• Addresses a new data analysis method.
• Provides a deeper understanding of the method.
• Includes hands on practical recommendations for application.
“Jan Dul has written a wonderful book that provides researchers with a rigorous and practical framework for explicitly theorizing the necessary conditions that must be present to make an outcome possible, and that their absence guarantees the absence of the outcome. By systematically integrating theory development, research design, and data analysis, the book shows how to identify “must-have” conditions. Importantly, this book equips researchers with concrete tools to generate more precise, impactful contributions that advance cumulative knowledge.”
-Herman Aguinis, Avram Tucker Distinguished Scholar and Professor of Management, The George Washington University, USA
ISBN: 9781032554471
Dimensions: unknown
Weight: unknown
466 pages