A note on permutation tests of significance for multiple regression coefficients

Michael Long; Kenneth Berry; Paul Mielke

doi:10.2466/pr0.100.2.339-345

A note on permutation tests of significance for multiple regression coefficients

Michael Long, Kenneth Berry, Paul Mielke

Social Sciences

Research output: Contribution to journal › Article › peer-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 language	English
Pages (from-to)	339-345
Journal	Psychological Reports
Volume	100
Issue number	2
DOIs	https://doi.org/10.2466/pr0.100.2.339-345
Publication status	Published - Apr 2007

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title = "A note on permutation tests of significance for multiple regression coefficients",

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JO - Psychological Reports

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A note on permutation tests of significance for multiple regression coefficients

Abstract

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