Sampling for possibilities

Michael Wood, Richard Christy

    Research output: Contribution to journalArticlepeer-review

    167 Downloads (Pure)


    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.
    Original languageEnglish
    Pages (from-to)185-202
    Number of pages18
    JournalQuality and Quantity
    Issue number2
    Publication statusPublished - May 1999


    Dive into the research topics of 'Sampling for possibilities'. Together they form a unique fingerprint.

    Cite this