Applied Multivariate Techniques [Hardcover]

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.

Subhash Sharma is the author of Applied Multivariate Techniques , published by Wiley.

FINALLY! YOUR STUDENTS DON'T HAVE TO BE

MATHEMATICIANS TO LEARN MULTIVARIATE TECHNIQUES!

Multivariate techniques are fundamental to research analysis?but their mathematical derivations are often overwhelming to students. This exciting new book takes a gentle approach that introduces students to the various multivariate techniques used in business without intimidation:

• The author uses geometry to illustrate concepts so students understand the various techniques and their application. Matrix algebra and proofs can also be used by referring to the appendices of the chapters.
• Each technique is discussed analytically using a small data set and hand calculations. This gives students a clearer understanding of the technique.
• Computer outputs from SAS and SPSS are annotated and discussed. Studenl#<