Comparing Two Non-parallel Regression Lines with the Parametric Alternative to Analysis of Covariance Using SPSS-X or SAS--the Johnson-Neyman Technique.

Karpman, Mitchell

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Peer reviewed

ERIC Number: EJ342066

Record Type: Journal

Publication Date: 1986

Pages: N/A

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ISBN: N/A

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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.

Karpman, Mitchell

Educational and Psychological Measurement, v46 n3 p639-44 Aut 1986

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 are designed for two groups and one covariate. (Author/JAZ)

Descriptors: Analysis of Covariance, Comparative Analysis, Computer Software, Programing Languages, Regression (Statistics)

Publication Type: Journal Articles; Reports - Descriptive

Education Level: N/A

Audience: N/A

Language: English

Sponsor: N/A

Authoring Institution: N/A

Grant or Contract Numbers: N/A

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