title: A note on permutation tests of significance for multiple regression coefficients.
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.
authors.affiliation: Department of Sociology, Colorado State University, Fort Collins, CO 80523-1784, USA. Michael.Long@colostate.edu
authors.forename: Michael A
authors.initials: MA
authors.lastname: Long
authors.forename: Kenneth J
authors.initials: KJ
authors.lastname: Berry
authors.forename: Paul W
authors.initials: PW
authors.lastname: Mielke
mesh_terms: D004521:Educational Measurement; D006801:Humans; D011584:Psychology / Q000379:methods* / Q000706:statistics & numerical data*; D012044:Regression Analysis; D013663:Teaching