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On the Use of Structural Equation Models in Experimental Designs
Richard P. Bagozzi and Youjae Yi
Journal of Marketing Research
Vol. 26, No. 3 (Aug., 1989), pp. 271-284
Published by: American Marketing Association
Stable URL: http://www.jstor.org/stable/3172900
Page Count: 14
You can always find the topics here!Topics: Mathematical dependent variables, Structural equation models, Modeling, Marketing, Mathematical procedures, Statistical discrepancies, Design analysis, Research methods, Null hypothesis, Graphic design
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New procedures are developed and illustrated for the analysis of experimental data with particular emphasis on MANOVA and MANCOVA designs. The authors begin with one-way designs, including overall tests of significance, step-down analyses, and the use of latent variables. Next they describe a general test of homogeneity and consider a procedure that is applicable even under conditions of heterogeneity. Two-way designs then are derived as special cases of the more general n-way case. Finally, advantages and disadvantages of the new methods are considered.
Journal of Marketing Research © 1989 American Marketing Association