The Basic Features Of Log-linear Analysis: A Method Used In Statistics

This book introduces log-linear analysis. It is a method used in statistics to examine the relationship between more than two categorical variables. This is a special case of the general linear model (GLM, which includes regression and ANOVA models) created to better handle the case of dichotomous and categorical variables. The technique is used for both hypothesis testing and model building.



In this book, you will discover:

- Overview

- Key Concepts and Terms

- Types of log-linear analysis

- General log-linear analysis

- Hierarchical log-linear analysis

- Types of variables

- Factors

- Covariates

- Cell structure variables/cell weight variables

- Contrast variables

- Types of models

- Saturated models and effects

- Parsimonious models