Testing Main Effects of Continuous Variables in Nonadditive Models.

Lane, David M.

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Peer reviewed

ERIC Number: EJ255813

Record Type: CIJE

Publication Date: 1981-Oct

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Testing Main Effects of Continuous Variables in Nonadditive Models.

Lane, David M.

Multivariate Behavioral Research, v16 n4 p499-509 Oct 1981

Problems in testing main effects in regression analysis when there is interaction are discussed. A method by which main effects can be tested independently of the interaction is developed and compared with the hierarchical method. The method provides control of the type I error rate, but is quite conservative. (Author/JKS)

Descriptors: Aptitude Treatment Interaction, Data Analysis, Hypothesis Testing, Mathematical Models, Multiple Regression Analysis

Publication Type: Journal Articles; Reports - Research

Education Level: N/A

Audience: N/A

Language: English

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