## Discriminant Analysis, Volume 19; Volume 1980These procedures, collectively known as discriminant analysis, allow a researcher to study the difference between two or more groups of objects with respect to several variables simultaneously, determining whether meaningful differences exist between the groups and identifying the discriminating power of each variable. |

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an excellent ready to use book for all who are not familiar with the ways of statistics and are attempting their first research as well as for those are professional researchers and need it as a refernce book.

### Contents

Editors Introduction | 5 |

Deriving the Canonical Discriminant Functions | 15 |

Classification Procedures | 42 |

Stepwise Inclusion of Variables | 52 |

Concluding Remarks | 60 |

References | 69 |

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### Common terms and phrases

Aiken ANTINEUT ANTIYUGO axes Bardes Bardes's data canonical discriminant functions chapter chi-square closest group compute contribution Cooley and Lohnes CUTAID CUTASIAN defined denotes derived dimension discriminant analysis discriminant scores discriminating information discriminating variables discussion eigenvalue equal Equation error example F statistic F-to-enter F-to-remove factions foreign aid formulas Function 2 Function grand mean group centroids group covariance matrices group differences group membership hostages interpretation Klecka large number levels of measurement linear combination located mathematical measure Modals multivariate normal distribution number of discriminating number of groups plot population position posterior probabilities prior probabilities probability of belonging probability of group Regreesion relative percentage research situation residual discrimination roll call data sample second function selected Senate roll call simple random samples space SPSS squared distance standard deviation standardized coefficients statistically significant step stepwise procedure Table technique terrorist tests of significance third function total correlations total structure coefficients unstandardized variance Wilks's lambda zero