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Designing Social Inquiry

Designing Social Inquiry

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  • Forlagets pris kr. 349,95
  • Leveringstid 2-4 hverdage
  • Forventet levering 30-04-2018
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Bog, paperback (kr. 249,95)
  1. Beskrivelse

    Providing precepts intended to stimulate and discipline thought, this book explores issues related to framing research questions, measuring the accuracy of data and uncertainty of empirical inferences, discovering causal effects, and generally improving qualitative research. 3 line il... Læs mere

    Udgivelsesdato:
    02-05-1994
    Leveringstid:
    2-4 hverdage
    Rating:
    (0)
  2. Yderligere info
    Udgivelsesdato:
    02-05-1994
    Sprog:
    Engelsk
    ISBN13:
    9780691034713
    Sidetal:
    264
    Vægt:
    369
    Højde:
    17
    Bredde:
    152
    Længde:
    235
    Mærkat:
    Bog, paperback
    Format:
    Paperback
    • Bibliotekernes beskrivelse

      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.

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