By: Subhash Sharma
493 pages, Figs, tabs
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).
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.
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