Using real-world data examples, this  authoritative book shows how to use the latest configural frequency  analysis (CFA) techniques to analyze categorical data. Some of the  techniques are presented here for the first time. In contrast to methods  that focus on relationships among variables, such as log-linear  modeling, CFA allows researchers to evaluate differences and change at  the level of individual cells in a table. Illustrated are ways to  identify and test for cell configurations that are either consistent  with or contrary to hypothesized patterns (the types and antitypes of  CFA); control for potential covariates that might influence observed  results; develop innovative prediction models; address questions of  moderation and mediation; and analyze intensive longitudinal data. The  book also describes free software applications for executing CFA. (20110302)

Advances in Configural Frequency Analysis (Methodology In The Social Sciences) PDF

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