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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.

By: Contributor(s): Material type: TextTextPublisher: Princeton, New Jersey : Princeton University Press, [2021]Copyright date: ©2021Edition: New editionDescription: xvii, 243 páginas ; 24 cmContent type:
  • text
  • still image
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780691224633
  • 9780691224626
Subject(s): LOC classification:
  • H 61 K524 2021
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. -- Reseña del editor.
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Holdings
Item type Current library Collection Call number Status Date due Barcode
Préstamo Biblioteca Pedro Arrupe Acervo H 61 K524 2021 (Browse shelf(Opens below)) Available 160447

Incluye referencias bibliográficas (páginas 229-235) e índice.

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. -- Reseña del editor.

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