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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