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A comparison of statistical significance tests for information retrieval evaluation

Published: 06 November 2007 Publication History

Abstract

Information retrieval (IR) researchers commonly use three tests of statistical significance: the Student's paired t-test, the Wilcoxon signed rank test, and the sign test. Other researchers have previously proposed using both the bootstrap and Fisher's randomization (permutation) test as non-parametric significance tests for IR but these tests have seen little use. For each of these five tests, we took the ad-hoc retrieval runs submitted to TRECs 3 and 5-8, and for each pair of runs, we measured the statistical significance of the difference in their mean average precision. We discovered that there is little practical difference between the randomization, bootstrap, and t tests. Both the Wilcoxon and sign test have a poor ability to detect significance and have the potential to lead to false detections of significance. The Wilcoxon and sign tests are simplified variants of the randomization test and their use should be discontinued for measuring the significance of a difference between means.

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    cover image ACM Conferences
    CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
    November 2007
    1048 pages
    ISBN:9781595938039
    DOI:10.1145/1321440
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 06 November 2007

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    Author Tags

    1. bootstrap
    2. hypothesis test
    3. permutation
    4. randomization
    5. sign
    6. statistical significance
    7. student's t-test
    8. wilcoxon

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