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ERIC Number: ED233064
Record Type: Non-Journal
Publication Date: 1983-Apr
Pages: 25
Abstractor: N/A
Reference Count: N/A
ANCOVA and Repeated Measures: Dealing with Heterogeneity of Regression.
Delaney, Harold D.; Maxwell, Scott E.
The data analysis problem posed by a repeated measures design that includes a single observation on a covariate for each subject is considered. The current paper discusses how best to capture a possible dependence of the effect of the within-subject factor on the level of the covariate. Procedures originally explicated by Rogosa (1980) for dealing with heterogeneity of regression in the between-subjects case are extended to this repeated measures situation. We conclude that such pick-a-point and simultaneous inferential procedures not only provide more powerful overall tests of the within-subject effects but also permit a thorough analysis of the attribute-by-treatment interaction implied by a significant regression of the within effect on the covariate. (Author)
Publication Type: Speeches/Meeting Papers; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A