Determining the Most Significant Parametric Function for a Given Linear Hypothesis.

Lutz, Gary J.; Cundari, Leigh A.

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Peer reviewed

ERIC Number: EJ366913

Record Type: Journal

Publication Date: 1987

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Determining the Most Significant Parametric Function for a Given Linear Hypothesis.

Lutz, Gary J.; Cundari, Leigh A.

Journal of Educational Statistics, v12 n3 p225-233 Fall 1987

Discusses difficulties encountered in use of the Scheffe procedure to locate the most significant parametric function within a linear statistical model that has been tested and rejected by, for example, analysis of variance. A solution to the problems is presented. (TJH)

Descriptors: Analysis of Variance, Hypothesis Testing, Learning Disabilities, Reading Comprehension, Research Methodology, Statistical Significance

Publication Type: Journal Articles; Reports - Research

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Language: English

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