Comment : 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).

Table of contents
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.

Nbre volumes : 1

Language : English

Place of publishing : NEW YORK

Figure(s) : Graphique(s) ; Tableau(x)

Location : Nice Library

Material : Paper

Statement : Présent

Owner : Bibliothèque