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ERIC Number: ED206657
Record Type: Non-Journal
Publication Date: 1981-Apr
Pages: 23
Abstractor: N/A
Reference Count: N/A
ATI with a Large Set of Nonorthogonal Attribute Variables: A Multiple Regression Solution.
West, Leo H. T.; Theobald, John H.
This paper describes an analytical solution to a common problem in aptitude-treatment interaction (ATI). The researcher is often interested in the comparison between treatments for a large set of attributes. If this set is large, the chance of non-orthogonality is correspondingly large. In these circumstances the analysis and interpretation becomes equivocal. Using data from a study of contrasting teaching approaches in high school biology and thirteen attributes, a regression approach to the analysis is demonstrated. The redefinition of a new set of orthogonal variables is made on rational grounds rather than allowed to happen by default. (Author/BW)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: Australia