## Using multivariate statistics |

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62 pages matching **discriminant function analysis** in this book

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### Contents

Review of Univariate and Bivariate | 24 |

Using | 52 |

Cleaning up Your | 66 |

Copyright | |

12 other sections not shown

### Common terms and phrases

adjusted analysis of covariance analysis of variance assessed associated assumption attitude between-subjects BMDP BMDP7M canonical analysis canonical correlation canonical variates cell Chapter classification components correlation matrix Covariance matrix cross-products degrees of freedom differences DISCRIM discriminant function analysis eigenvalues equation error term evaluated example extraction F TO FORCE factor scores HAPHOUSE hierarchical homoscedasticity IESCALE interaction interpretation INTEXT Lambda levels linear combination lll'l LPHYHEAL main effects measures missing data multicollinearity multiple correlation multiple regression multivariate outliers multivariate statistics normality null hypothesis number of factors number of variables observed variables orthogonal outliers output plots predicted predictor variables procedures programs regression coefficients relationship residuals sample sizes scatterplots Section SELFESTE set of variables skewness solution SPSS MANOVA SRAHE statistically significant stepdown analysis stepwise sum of squares Table techniques tion transformation treatment Type I error univariate values within-subjects women WOMENROL Yes No Yes Yes Yes Yes