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Beyond statistical inference: a decision theory for science.

Beyond statistical inference: a decision theory for science. Research Abstract Details 

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  • Beyond statistical inference: a decision theory for science. Abstract Text:

    peter r killeenPeter R Killeen,

    Traditional null hypothesis significance testing does not yield the probability of the null or its alternative and, therefore, cannot logically ground scientific decisions. The decision theory proposed here calculates the expected utility of an effect on the basis of (1) the probability of replicating it and (2) a utility function on its size. It takes significance tests--which place all value on the replicability of an effect and none on its magnitude--as a special case, one in which the cost of a false positive is revealed to be an order of magnitude greater than the value of a true positive. More realistic utility functions credit both replicability and effect size, integrating them for a single index of merit. The analysis incorporates opportunity cost and is consistent with alternate measures of effect size, such as r2 and information transmission, and with Bayesian model selection criteria. An alternate formulation is functionally equivalent to the formal theory, transparent, and easy to compute.

    Beyond statistical inference: a decision theory for science. Publishing Authors By Initials

    pr killeenPR Killeen,

    For similar natural sciences: science research abstracts see: natural sciences: science research

    PUBMED ID PMID:

    MEDLINE DATE:

    Beyond statistical inference: a decision theory for science. Journal Published:

    PUBLICATION TYPE: Research Support, U.S. Gov't,

    Journal: Psychonomic bulletin & review

    VOLUME: 13

    Page Numbers: 549-62

    Journal Abbreviation:

    ISSN: 1069-9384

    DAY: 3

    MONTH: Aug

    YEAR: 2006

    Beyond statistical inference: a decision theory for science. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9502924

    Beyond statistical inference: a decision theory for science. Keywords Mesh Terms:

    KEYWORDS: Science

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    Chemical & Substance for Abstract: Beyond statistical inference: a decision theory for science. Information

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    Grant and Affiliation Information for Beyond statistical inference: a decision theory for science.

    AFFILIATION: Department of Psychology, Arizona State University, Box 1104, Tempe, AZ 85287-1104, USA. killeen@asu.edu

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY: United States NIMH

    GRANT: 1R01MH066860

    ACRONYM: MH

    MEDLINETA: Psychon Bull Rev

    REFSOURCE:

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    ACCESSION NUMBER:

    Number Hits: 0

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