Afifi A.A, Clark V. Computer-Aided Multivariate Analysis

3rd ed. — Springer-Science+Business Media, B.V., 1996. — 456 p. — ISBN: 041273060X, 9780412730603.Increasingly, researchers need to perform multivariate statistical analyses on their data. Unfortunately, a lack of mathematical training prevents many from taking advantage of these advanced techniques, in part, because books focus on the theory and neglect to explain how to perform and interpret multivariate analyses on real-life data. For years, Afifi and Clark's Computer-Aided Multivariate Analysis has been a welcome exception-helping researchers choose the appropriate analyses for their data, carry them out, and interpret the results. Only a limited knowledge of statistics is assumed, and geometrical and graphical explanations are used to explain what the analyses do. However, the basic model is always given, and assumptions are discussed. Reflecting the increased emphasis on computers, the Third Edition includes three additional statistical packages written for the personal computer. The authors also discuss data entry, database management, data screening, data transformations, as well as multivariate data analysis. Another new chapter focuses on log-linear analysis of multi-way frequency tables. Students in a wide range of fields-ranging from psychology, sociology, and physical sciences to public health and biomedical science-will find Computer-Aided Multivariate Analysis especially informative and enlightening.What is multivariate analysis?
Characterizing data for future analyses.
Preparing for data analysis.
Data screening and data transformation.
Selecting appropriate analyses.
Simple linear regression and correlation.
Multiple regression and correlation.
Variable selection in regression analysis.
Special regression topics.
Canonical correlation analysis.
Discriminant analysis.
Logistic regression.
Regression analysis using survival data.
Principal components analysis.
Factor analysis.
Cluster analysis.
Log-linear analysis.