assignment05

3 .06 .13 1.00Compute the following multivariate statistics for this MANOVA:Statistic ValuePillais TraceHotelling-Lawley Wilks' Lambda Roy's Largest Root 3. Given the following Dimension Reduction Analysis output from a MANOVA analysis, specify which canonical variates (1, 2, 3) you would retain in your analysis and why:Roots Wilks L. F Hypoth. DF Error DF Sig. of F1 TO 3 .88697 10.16418 9.00 1810.85 .0002 TO 3 .98523 2.78212 4.00 1490.00 .0263 TO 3 .99808 1.43266 1.00 746.00 .2324. Relate the raw and standardized discriminant function coefficients obtained in MANOVA to the regression coefficients obtained in multiple regression (B and Beta) (Assignment 4).5. In your own words, differentiate between the use of raw discriminant function coefficients and DV correlations/loadings in describing a canonical variate. Reference BibliographyBray, J. H. & Maxwell, S. E. (1985). Multivariate analysis of variance. Quantitative applications in the social sciences series. Thousand Oaks, CA: Sage Publications. Carey, G. (1998). Multivariate analysis of variance (MANOVA): I. Theory. Department of Psychology, University of Minnesota. Retrieved December 27, 2004 fromhttp://www.psych.umn.edu/courses/spring05/federicoc/psy8815/lectures/stats_lecture11_reading.pdfChalikia, M. (n.d.) Multivariate analysis of variance (MANOVA). Minnesota State University Moorhead. Retrieved December 12, 2006 from http://www.mnstate.edu/chalikia/Psy%20632/Notes/multivariate_analysis_of_varianc.htmDunteman, G. (2005). An introduction to generalized linear models. Quantitative applications in the social sciences series. Thousand Oaks, CA: Sage Publications. Farmen, B. Multivariate analysis of variance (MANOVA) (chapter 14). In Analysis of variance and experimental design: An electronic text for PSYC3240. Anderson University. Retrieved April 16, 2005 from http://bill.psyc.anderson.edu/exdes/ex10.htmlField, A. (2005). Multivariate analysis of variance – MANOVA (Chapter 14). In Discovering statistics using SPSS. 2nd ed. London: Sage Publications.Connor, E.F. (2002). Logistic regression.. San Francisco State University. Retrieved December 21, 2004 from http://online.sfsu.edu/~efc/classes/biol710/logistic/logisticreg.htm Craig L. Scanlan 2004 24
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