Description

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.

Designing Social Inquiry: Scientific Inference in Qualitative Research, New Edition

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Paperback / softback by Gary King , Robert O. Keohane

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The classic work on qualitative methods in political scienceDesigning Social Inquiry presents a unified approach to qualitative and quantitative research... Read more

    Publisher: Princeton University Press
    Publication Date: 17/08/2021
    ISBN13: 9780691224626, 978-0691224626
    ISBN10: 0691224625

    Number of Pages: 272

    Non Fiction , Politics, Philosophy & Society

    Description

    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.

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