Comparing Two Non-parallel Regression Lines with the Parametric Alternative to Analysis of Covariance Using SPSS-X or SAS--the Johnson-Neyman Technique.
- Resource Type
- Journal Articles
Reports - Descriptive
- Authors
- Karpman, Mitchell
- Source
- Educational and Psychological Measurement. Aut 1986 46(3):639-644.
- Subject
- Analysis of Covariance
Comparative Analysis
Computer Software
Programing Languages
Regression (Statistics)
- Language
- English
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)