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The Johnson-Neyman Technique Using SPSS or BMDP
20
Citations
13
References
1983
Year
Multivariate AnalysisEstimation StatisticStatistical FoundationStatistical ModelingSpss And/or BmdpOptimal Experimental DesignMajor Statistical PackagesRegression AnalysisStatistical InferenceStatistical ScienceFunctional Data AnalysisStatisticsJohnson-neyman Technique
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.
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