Using Multivariate Statistics

adjusted analysis of covariance analysis of variance assessed associated assumption ATTHOUSE attitudes ATTSTAT between-subjects BMDP BMDP7M canonical analysis canonical correlation canonical variates Chapter classification components correlation matrix degrees of freedom differences DISCRIM discriminant function analysis eigenvalues equation error term evaluated example extraction F TO FORCE F-STATISTIC FORCE TOLERANCE HAPHOUSE hierarchical homoscedasticity IESCALE interaction interpretation INTEXT Lambda levels linear combination LPHYHEAL Mahalanobis distance main effects measures MENHEALT missing data multicollinearity multiple correlation multiple regression multivariate statistics NEUROTIC null hypothesis number of factors number of variables observed variables orthogonal outliers output predicted predictor variables procedures programs regression coefficients relationship residuals sample sizes scatterplots Section SELFESTE set of variables skewness solution SPSS MANOVA SRAHE statistically significant STEP NUMBER stepdown analysis stepwise sum of squares Table techniques tion transformation treatment Type I error univariate values Wilks within-subjects women WOMENROL Yes Yes Yes