A note on permutation tests of significance for multiple regression coefficients

Michael Long, Kenneth Berry, Paul Mielke

    Research output: Contribution to journalArticlepeer-review

    5 Citations (Scopus)

    Abstract

    In the vast majority of psychological research utilizing multiple regression analysis, asymptotic probability values are reported. This paper demonstrates that asymptotic estimates of standard errors provided by multiple regression are not always accurate. A resampling permutation procedure is used to estimate the standard errors. In some cases the results differ substantially from the traditional least squares regression estimates.
    Original languageEnglish
    Pages (from-to)339-345
    JournalPsychological Reports
    Volume100
    Issue number2
    DOIs
    Publication statusPublished - Apr 2007

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