Sampling for Possibilities

Sampling for Possibilities This paper views empirical research as a search for illustrations of interesting possibilities which have occurred, and the exploration of the variety of such possibilities in a sample or universe. This leads to a definition of “illustrative inference” (in contrast to statistical inference), which, we argue, is of considerable importance in many fields of inquiry – ranging from market research and qualitative research in social science, to cosmology. Sometimes, it may be helpful to model illustrative inference quantitatively, so that the size of a sample can be linked to its power (for illustrating possibilities): we outline one model based on probability theory, and another based on a resampling technique. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Sampling for Possibilities

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Publisher
Kluwer Academic Publishers
Copyright
Copyright © 1999 by Kluwer Academic Publishers
Subject
Social Sciences; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1023/A:1026435213337
Publisher site
See Article on Publisher Site

Abstract

This paper views empirical research as a search for illustrations of interesting possibilities which have occurred, and the exploration of the variety of such possibilities in a sample or universe. This leads to a definition of “illustrative inference” (in contrast to statistical inference), which, we argue, is of considerable importance in many fields of inquiry – ranging from market research and qualitative research in social science, to cosmology. Sometimes, it may be helpful to model illustrative inference quantitatively, so that the size of a sample can be linked to its power (for illustrating possibilities): we outline one model based on probability theory, and another based on a resampling technique.

Journal

Quality & QuantitySpringer Journals

Published: Oct 16, 2004

References

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