Guide to Practical Statistics

This book is intended to make social science researchers aware of the statistical methodologies used to analyse research data. This book is not intended to make the reader an expert in the underlying theoretical statistical methodology. Almost no formulas are used. Each methodology is described so that the reader can understand the technique's applicability in a practical research situation.  Emphasis is placed on the basic statistical assumptions underlying the various statistical techniques, the type of data required and where those techniques are most often used.

Introduction

Chapter A. Exploratory analysis (Non-Metric)
Chapter B. CHAID
Chapter C. Frequency table (Cross-Tabulation) analysis
Chapter D. Log-Linear analysis of frequence table
Chapter E. Correspondence analysis
Chapter F. Logistic Regression
Chapter G. Analysis of variance (ANOVA)
Chapter H. Discriminant analysis
Chapter I. Exploratory analysis
Chapter J. Regression analysis
Chapter K. Multivariate Regression
Chapter L. Factor analysis
Chapter M. Cluster analysis
Chapter N. Principal component analysis
Chapter O. Correlation analysis

Appendices
Program Statements
Recommended readings
Glossary

Jacques Pietersen is a statistician at the HSRC, Information Services Department. George Damianov is a manager of the Statistics and Operartions research Department at the head office of the Standard bank of South Africa