Applied Multivariate Techniques (Hardcover)

<內容簡介>

This book focuses on when to use the various analytic techniques and how to interpret the resulting output from the most widely used statistical packages (e.g., SAS, SPSS).

 <章節目錄>

Geometric Concepts of Data Manipulation.
Fundamentals of Data Manipulation.
Principal Components Analysis.
Factor Analysis.
Confirmatory Factor Analysis.
Cluster Analysis.
Two-Group Discriminant Analysis.
Multiple-Group Discriminant Analysis.
Logistic Regression.
Multivariate Analysis of Variance.
Assumptions.
Canonical Correlation.
Covariance Structure Models.
Statistical Tables.
References.
Tables, Figures, and Exhibits.
Index.