IDENTIFYING REGIONS OF SIGNIFICANCE IN ANCOVA PROBLEMS HAVING NONHOMOGENEOUS REGRESSIONS

被引：11

作者：

HUNKA, S

机构：

[1] Centre for Research in Applied Measurement and Evaluation, University of Alberta, Edmonton, Alberta

来源：

BRITISH JOURNAL OF MATHEMATICAL & STATISTICAL PSYCHOLOGY | 1995年 / 48卷

关键词：

D O I：

10.1111/j.2044-8317.1995.tb01056.x

中图分类号：

O1 [数学];

学科分类号：

0701 ; 070101 ;

摘要：

Although the Johnson-Neyman problem has been well defined in the literature, computational problems have restricted its use by researchers. The computational problems can be simplified considerably by defining the analysis of covariance model in terms of the general linear model in which the contrast matrix for assessing group effects holds the unknown values to which groups are equated. A solution for the unknown values or boundary for the region of significance can be obtained by using the symbolic processing, or three-dimensional graphing and contour plotting capabilities of the Mathematica computer software package.

引用

页码：161 / 188

页数：28

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