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Comparing Two Non-parallel Regression Lines with the Parametric Alternative to Analysis of Covariance Using SPSS-X or SAS--the Johnson-Neyman Technique
Educational and Psychological Measurement Vol. 46, No. 3 (1986) pp. 639–44
The Johnson-Neyman (JN) technique is a parametric alternative to analysis of covariance that permits nonparallel regression lines. This article presents computer programs for J-N using the transformational languages of SPSS-X and SAS. The programs...