SPSS procedures for approximate randomization tests

Abstract

Randomization tests are valid alternatives to parametric tests like the t test and analysis of variance when the normality or random sampling assumptions of these tests are violated. Three SPSS programs are listed and described that will conduct approximate randomization tests for testing the null hypotheses that two or more means or distributions are the same or that two variables are independent (i.e., uncorrelated or "randomly associated"). The programs will work on both desktop and mainframe versions of SPSS. Although the SPSS programs are slower on desktop machines than software designed explicitly for randomization tests, these programs bring randomization tests into the reach of researchers who prefer the SPSS computing environment for data analysis. Copyright 1998 Psychonomic Society, Inc.