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This paper considered several issues with the analysis and interpretation of interactions in unbalanced factorial designs. The effect of design weights on the interaction parameters of factorial designs and an approach for the analysis of interactions using finite intersection tests is discussed. The example of a researcher designing a study to analyze the interaction of two treatment combinations is used. In implementing the study, an unbalanced nonorthogonal design resulted. To analyze this data, one researcher in the example used equal cell weights and another used proportional cell or balanced weights. It is shown that the interaction parameters and their corresponding estimates depend on the weighting scheme selected. Implications of these findings are discussed. (Contains 38 references.) (Author/SLD)

Descriptors: Interaction, Research Methodology, Researchers











Autor: Timm, Neil H.

Fuente: https://eric.ed.gov/?q=a&ft=on&ff1=dtySince_1992&pg=10548&id=ED420679







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