Designing social inquiry : scientific inference in qualitative research / Gary King, Robert O. Keohane, Sidney Verba.

Author
King, Gary, 1958- [Browse]
Format
Book
Language
English
Published/​Created
  • Princeton, New Jersey : Princeton University Press, [1994]
  • ©1994
Description
xi, 247 pages : illustrations ; 24 cm

Availability

Copies in the Library

Location Call Number Status Location Service Notes
Firestone Library - Stacks H61 .K5437 1994 Browse related items Request
    Firestone Library - Stacks H61 .K5437 1994 Browse related items Request
      Forrestal Annex - ReserveH61 .K5437 1994 Browse related items Request
        Stokes Library - Wallace Hall (SPIA) H61 .K5437 1994 Browse related items Request
          Stokes Library - Wallace Hall (SPIA) H61 .K5437 1994 Browse related items Request

            Details

            Subject(s)
            Author
            Series
            Princeton paperbacks [More in this series]
            Summary note
            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. -- Publisher description.
            Notes
            Series information taken from backcover.
            Bibliographic references
            Includes bibliographical references and index.
            Contents
            • The Science in Social Science
            • Descriptive Inference
            • Causality and Causal Inference
            • Determining What to Observe
            • Understanding What to Avoid
            • Increasing the Number of Observations.
            Other title(s)
            Scientific inference in qualitative research
            ISBN
            • 0691034702 ((cloth ; : alk. paper))
            • 9780691034706 ((cloth ; : alk. paper))
            • 0691034710 ((paperback ; : alk. paper))
            • 9780691034713 ((paperback ; : alk. paper))
            • 1400812364
            • 9781400812363
            LCCN
            93039283
            OCLC
            29225092
            International Article Number
            • 9780691034713
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