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Synopsis
This book presents a detailed and accessible discussion of multiple regression and limited-dependent variable models in the context of policy analysis.
Booknews
Shows how to build statistical models to analyze problems in social and behavioral research. Begins by reviewing concepts of probability, distributions, and other basic concepts, then presents the regression model and its underlying assumptions, focusing on multiple regression. Discusses ways to accommodate nonlinearities and qualitative variables in regression analysis, and looks at the regression model's assumptions in depth. Other subjects include maximum likelihood estimators, logit models, and sample selection bias. Includes mathematical appendices. Annotation c. by Book News, Inc., Portland, Or.