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• W59015355 abstract "Aptitude-treatment interaction (ATI) studies have been used with some frequency, yet many researchers do not understand fully what interaction effects are. Because the means for interactions involve fewer persons per mean, power to detect interaction effects is typically smallest for the highest-order interaction in a given design. This phenomenon has been formalized by some methodologists as the Type IV error--the failure to detect statistical significance for the interaction null hypotheses that really should be rejected. This paper reviews the concept of the interaction effect. Small heuristic data sets are used to make the discussion more concrete. The concept of interaction is important because it links the two-way factorial designs with designs involving three or more independent variables. An appendix illustrates the analysis of variance technique. (Contains 4 figures, 5 tables, and 12 references.) (Author/SLD) ******************************************************************************** * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ******************************************************************************** Interaction effects 1 Running Head: INTERACTION EFFECTS Understanding Interaction Effects and Type IV Errors Jeffrey Dodds Texas A & M University PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) U.S. DEPARTMENT OF EDUCATION Office of Educational Research and improvement EDU3ATIONAL RESOURCES INFORMATION CENTER (ERIC) me...This document has been reproduced as received from the person or organization originating it. 0 Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. _ _ _ _ _ _ _ Paper presented at the annual meeting of the Mid-South Educational Research Association, New Orleans, November 4, 1998. Interaction effects 2 Abstract Aptitude-treatment interaction (or ATI) studies have been employed with some frequency, yet many researchers do not fully understand what interaction effects are. Because the means for interactions involve fewer persons per mean, power to detect interaction effects is typically smallest for the highest-order interaction in a given design. This phenomenon has been formalized by some methodologists as the Type IV error the failure to detect statistical significance for interaction null hypotheses that really should be rejected. This paper reviews the concept of the interaction effect. Small heuristic data sets will be used to make the discussion more concrete.Aptitude-treatment interaction (or ATI) studies have been employed with some frequency, yet many researchers do not fully understand what interaction effects are. Because the means for interactions involve fewer persons per mean, power to detect interaction effects is typically smallest for the highest-order interaction in a given design. This phenomenon has been formalized by some methodologists as the Type IV error the failure to detect statistical significance for interaction null hypotheses that really should be rejected. This paper reviews the concept of the interaction effect. Small heuristic data sets will be used to make the discussion more concrete." @default.
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• W59015355 date "1998-11-04" @default.
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• W59015355 title "Understanding Interaction Effects and Type IV Errors." @default.
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