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Educational and Psychological Measurement
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The Johnson-Neyman Technique Using SPSS or BMDP

Mitchell B. Karpman

University of Maryland

When homogeneity of slopes, an assumption of analysis of covariance is not present, the Johnson-Neyman technique has been considered as an alternative to analysis of covariance. The limited use of the Johnson-Neyman technique is perhaps related to exclusion of an algorithm in BMDP or SPSS, two major statistical packages. The present paper describes how to apply the Johnson-Neyman technique for one or two covariates using SPSS and/or BMDP.

Educational and Psychological Measurement, Vol. 43, No. 1, 137-147 (1983)
DOI: 10.1177/001316448304300117


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Educational and Psychological MeasurementHome page
M. B. Karpman
Comparing Two Non-Parallel Regression Lines with the Parametric Alternative to Analysis of Covariance Using SPSS-X or SAS--The Johnson-Neyman Technique
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