## Multivariate procedures for the behavioral sciences |

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### Contents

An Introduction to Multivariate Analysis and Computer Programming | 1 |

Computing the Basic Matrices and Vectors | 17 |

Multiple and Canonical Correlation | 31 |

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adjusted algebra analysis of variance aptitude canonical correlation CARO CONTAINS centour centroids Chapter classification coefficients columns computed control variables CORRELATION MATRIX covariance covariance control CROSS PROOUCTS DETERM deviation s.s.c.p. diagonal dimensions discriminant functions discriminant space eigenvalues eigenvectors elements equation example experimental variables factor analysis factor scores Flow Diagram FORMAT forming FORTRAN group means HDIAG individual INIRd INPUT Read intercorrelations JSEC latent roots linear LROOT Mathematics MATINV method multiple multivariate analysis null hypothesis number of groups OUTPUT Print and/or prediction predictors principal-components analysis Print and/or punch problem procedures PUNCHEO REAO INPUT TAPE regression REQUIREO roots and vectors rotation Rulon scales score vector significant solution standard deviations standard score Statistical SUBROUTINE Call subroutine subroutine CORREL sums of squares SUMV symmetric matrix Table test of H2 test scores test space TOTAL SAMPLE variance-covariance matrix VECT WRITE OUTPUT TAPE