Designing social inquiry : scientific inference in qualitative research / Gary King, Robert O. Keohane, and Sidney Verba ; with a new preface by Robert O. Keohane and Gary King.  (Text) (Text)

King, Gary, 1958-
Keohane, Robert O. (Robert Owen), 1941- | Verba, Sidney
Call no.: H61 .K485 2021Publication: Princeton, New Jersey : Princeton University Press, 2021Edition: New edDescription: xvii, 243 p. : illNotes: Previous edition: 1994.ISBN: 9780691224633 (hbk.); 0691224633 (hbk.); 9780691224626 (pbk.); 0691224625 (pbk.)Subject(s): Social sciences -- MethodologySocial sciences -- ResearchInferenceQualitative researchLOC classification: H61 | .K485 2021Summary: 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.
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Previous edition: 1994.

Includes bibliographical references (p. 229-235) and index.

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.

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