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Educational and Psychological Measurement
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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

Mitchell B. Karpman

General Accounting Office, Washington, D.C.

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.

Educational and Psychological Measurement, Vol. 46, No. 3, 639-644 (1986)
DOI: 10.1177/0013164486463018
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