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 ожжнр 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.  В этой книге2010 г Твердый переплет, 306 стр ISBN 1606237195.