Designing Social Inquiry Scientific Inference in Qualitative Research

ISBN-10: 0691034710

ISBN-13: 9780691034713

Edition: 1994

Authors: Gary King, Robert O. Keohane, Sidney Verba

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Description:

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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Book details

List price: $35.00
Copyright year: 1994
Publisher: Princeton University Press
Publication date: 5/22/1994
Binding: Paperback
Pages: 264
Size: 6.25" wide x 9.25" long x 0.75" tall
Weight: 1.056
Language: English

Preface
The Science in Social Science
Descriptive Inference
Causality and Causal Inference
Determining What to Observe
Understanding What to Avoid
Increasing the Number of Observations
References
Index
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