## Applied multivariate analysis |

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### Contents

ESSENTIAL MATRIX CONCEPTS AND CALCULATIONS | 24 |

PART TWO FACTOR ANALYSIS AND RELATED | 87 |

PRINCIPALAXES FACTOR ANALYSIS | 111 |

Copyright | |

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### Common terms and phrases

analysis of variance antilog Anxious depression assigned base rates between-groups Blunted affect BPRS symptom calculated classification clinical cluster column correlation matrix cross products defined degrees of freedom dependent variable Depressive mood derived design matrix diagnostic groups diagonal elements diagonal matrix discriminant function discriminant-function equal equation estimates evaluation factor analysis factor loadings factor scores factor variates frequencies group means Hostile-suspiciousness independent individuals inverse iterative J-l.NVAR mean vectors measurement method Motor retardation multiple multiple discriminant analysis multivariate normal number of variables NVAR obtained original variables paranoid patients powered-vector factor presented in Table primary factors principal components principal-axes factor principal-component vector probability problem psychiatric pure-type raw-score regression relationships represent residual rotation sample schizophrenic score vectors SP matrix square root statistical SUBROUTINE sum of squares symmetric matrix Thinking disturbance transformation matrix Unusual thought content vector vector-product weighting coefficients within-groups covariance matrix zero