The Johnson-Neyman (J-N; 1936) technique is a parametric alternative to analysis of covariance that permits non-parallel regression lines. This article presents computer programs for J-N using the transformational languages of SPSS-X and SAS. The programs are designed for two groups and one covariate.
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