Part of SAGE′s Mastering Business Research Methods series, conceived and edited by Bill Lee, Mark N. K. Saunders and Vadake K. Narayanan and designed to support students by providing in-depth and practical guidance on using a chosen method of data collection or analysis.
Necessary Condition Analysis (NCA) is an emerging method of data analysis, based on the idea that research factors can be necessary for an outcome: if the condition is not there, then the result will not occur. These necessary conditions are everywhere, and NCA is an intuitive and straightforward means of finding and testing data, either as a standalone tool or as a complement to other research methods.
This book is an invaluable guide to using NCA effectively in business and management dissertations, and offers practical guidance and insight into how to successfully transcribe and analyse data using the NCA approach in research projects.
Jan Dul is Professor of Technology and Human Factors at Rotterdam School of Management, Erasmus University, The Netherlands.
表中的内容
Chapter 1: Introduction
Chapter 2: Philosophical Assumptions and Logic of NCA
Chapter 3: Basic Components of NCA
Chapter 4: Data Analysis with NCA
Chapter 5: NCA Examples
Chapter 6: Strengths and Weaknesses
Glossary
References
Appendix 1: From Research Question to Hypotheses for NCA
Appendix 2: Installing R, RStudio, NCA R and Importing Your Dataset
Appendix 3: Writing Up Your NCA Study
关于作者
Jan Dul is Professor of Technology and Human Factors at Rotterdam School of Management, Erasmus University, The Netherlands.
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