Contextual analysis, the study of the role of the group context on actions and
attitudes of individuals, is a useful technique in the study of education, neighborhoods,
census tracts, election districts, and the family. However, the effective use of
contextual analysis has involved overcoming a number of issues, such as group boundaries,
the mobility of the individuals within a group, overlapping groups, missing individual
data, and the choice of statistical models. Contextual Analysis offers researchers a guide
for selecting the best model to use. Written in a straightforward style, the book explores
such topics as contextual analysis with absolute effects, with relative effects, and the
choice between regression coefficients as fixed parameters or as random variables.
Table of Contents
Introduction
Contingency Tables
Contextual Analysis with Absolute Effects
Contextual Analysis with Relative Effects
Examples of Absolute and Relative Data
Centering
Other Approaches
92 pages, Paperback