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

By:

King, Gary, 1958-

Contributor(s):

Material type: Text

TextPublication details: Princeton, N.J. : Princeton University Press, 1994.Description: xi, 247 p. : ill. ; 24 cmISBN:

0691034710 (pbk.)
9780691034713 (pbk.)

Subject(s):

DDC classification:

300.72 KIN 23 000941

Online resources:

Table of contents

Summary: At a moment when acute disagreement among scholars over the appropriateness of qualitative and quantitative research methods threatens to undermine the validity and coherence of the social sciences, Gary King, Robert Keohane and Sidney Verba have written a timely and farsighted book that develops a unified approach to valid descriptive and causal inference. They illuminate the logic of good quantitative and good qualitative research designs and demonstrate that the two do not fundamentally differ. Designing Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions? How would you know if you were wrong?

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Holdings
Item type	Current library	Call number	Status	Date due	Barcode
Book	Indian Institute for Human Settlements, Bangalore	300.72 KIN 000941 (Browse shelf(Opens below))	Available		000941

Includes bibliographical references (p. [231]-238) and index.

At a moment when acute disagreement among scholars over the appropriateness of qualitative and quantitative research methods threatens to undermine the validity and coherence of the social sciences, Gary King, Robert Keohane and Sidney Verba have written a timely and farsighted book that develops a unified approach to valid descriptive and causal inference. They illuminate the logic of good quantitative and good qualitative research designs and demonstrate that the two do not fundamentally differ. Designing Social Inquiry focuses on improving qualitative research, where numerical measurement is either impossible or undesirable. What are the right questions to ask? How should you define and make inferences about causal effects? How can you avoid bias? How many cases do you need, and how should they be selected? What are the consequences of unavoidable problems in qualitative research, such as measurement error, incomplete information, or omitted variables? What are proper ways to estimate and report the uncertainty of your conclusions? How would you know if you were wrong?

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