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Peer reviewed Peer reviewed
ERIC Number: EJ342066
Record Type: CIJE
Publication Date: 1986
Pages: N/A
Abstractor: N/A
Reference Count: 0
ISBN: N/A
ISSN: N/A
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
Identifiers: Johnson Neyman Technique; Parametric Analysis