|Author:||Robert O. Keohane,Sidney Verba,Gary King|
|Publisher:||Princeton University Press (May 2, 1994)|
|Other formats:||docx rtf lrf doc|
3. Inference I. Keohane, Robert Owen.
3. Our approach applies equally to these apparently dif-ferent forms of scholarship.
Home Browse Books Book details, Designing Social Inquiry: Scientific Inference i. .By Gary King, Robert O. Keohane, Sidney Verba.
Robert O. Keohane is Stanfield Professor of International Peace at Harvard University. Sidney Verba is Carl H. Pforzheimer University Professor and Director of the Harvard University Library.
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by Gary King, Robert O. Keohane, and Sidney Verba. However, the book has been rewritten so extensively by Robert Keohane and Sidney Verba, as well as Gary King, that it would be impossible for us to identify the authorship of many passages and sections reliably.
by Gary King, Sidney Verba, Robert O. Keohane.
and rigor of qualitative inquiry. Their book has, however, been quite influential and controversial, and has prompted several major rejoinders within political science that attempt to correct KK&V's misunderstandings (Henry Brady & David Collier, Rethinking Social Inquiry; Alexander George and Andrew Bennett, Case Studies and Theory Development in the Social Sciences; Gary Goertz & Jack Levy (Ed., Explaining War and Peace: Case Studies and Necessary Condition.
While heated arguments between practitioners of qualitative and quantitative research have begun to test the very integrity of the social sciences, Gary King, Robert Keohane, and Sidney Verba have produced a farsighted and timely book that promises to sharpen and strengthen a wide range of research performed in this field. These leading scholars, each representing diverse academic traditions, have developed a unified approach to valid descriptive and causal inference in qualitative research, where numerical measurement is either impossible or undesirable. Their book demonstrates that the same logic of inference underlies both good quantitative and good qualitative research designs, and their approach applies equally to each.
Providing precepts intended to stimulate and discipline thought, the authors explore issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. Among the specific topics they address are interpretation and inference, comparative case studies, constructing causal theories, dependent and explanatory variables, the limits of random selection, selection bias, and errors in measurement. Mathematical notation is occasionally used to clarify concepts, but no prior knowledge of mathematics or statistics is assumed. The unified logic of inference that this book explicates will be enormously useful to qualitative researchers of all traditions and substantive fields.