The classic work on qualitative methods in political science Designing Social Inquiry presents a unified approach to qualitative and quantitative research in political science, showing how the same logic of inference underlies both. This stimulating book discusses issues related to framing research questions, measuring the accuracy of data and the uncertainty of empirical inferences, discovering causal effects, and getting the most out of qualitative research. It addresses topics such as interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. The book only uses mathematical notation to clarify concepts, and assumes no prior knowledge of mathematics or statistics. Featuring a new preface by Robert O. Keohane and Gary King, this edition makes an influential work available to new generations of qualitative researchers in the social sciences.
With innovative new chapters on process tracing, regression analysis, and natural experiments, the second edition of Rethinking Social Inquiry further extends the reach of this path-breaking book.
Stephen Van Evera greeted new graduate students at MIT with a commonsense introduction to qualitative methods in the social sciences.
... 143–4, 193, 195, 200–5 approach to thinking about causation 22, 23, 27 framework 16, 19–20, 22–31, 33–4, 40–2, 192–3, 196–9, 201–2, 204 literature 27 setup 30, 192 Prasad, Monica 61–2 Preacher, Kristopher J. 186 process tracing 57, ...
Packed with useful examples, Redesigning Social Inquiry will be indispensable to experienced professionals and to budding scholars about to embark on their first project.
Blalock, H. 1982. Conceptualization and measurement in the social sciences. Beverly Hills: Sage Publications. Bollen, K. 1989. Structural equations with latent variables. New York: John Wiley & Sons. Boyd, L., and G. Iverson. 1979.
An analysis of available historical materials enabled Levy to identify the actors' preferences as follows. (The symbol “>” means preferred to, and “?” indicates that a definitive preference could not be established.) Figure A.2.
Using everyday jargon-free language, Designing Social Research guides you through the jungle of setting up a research study.
This book provides a solution to the ecological inference problem, which has plagued users of statistical methods for over seventy-five years: How can researchers reliably infer individual-level behavior from aggregate (ecological) data?
Designing Social Inquiry: Scientific Inference in Qualitative Research
The contributors to this book have worked in a variety of field locations and settings and have interviewed a wide array of informants, from government officials to members of rebel movements and victims of wartime violence, from lobbyists ...