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Designing Social Inquiry Scientific inference in qualitative research by Gary King and others.

By: Contributor(s): Material type: TextTextPublication details: Princeton, New Jersey Princeton University Press 2021.Description: xvii, 243p. 25 cmISBN:
  • 9780691224626
Subject(s): DDC classification:
  • 300.72 K582D
Summary: 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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Item type Home library Call number Status Date due Barcode Item holds
Book Book S. R. Ranganathan Learning Hub 300.72 K582D (Browse shelf(Opens below)) Available 12192
Book Book S. R. Ranganathan Learning Hub 300.72 K582D (Browse shelf(Opens below)) Available 12193
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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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