An accessible, detailed, and up-to-date treatment of regression analysis, linear models, and closely related methods is provided in this book. Incorporating nearly 200 graphs and numerous examples and exercises that employ real data from the social sciences, the book begins with a consideration of the role of statistical data analysis in social research. It then moves on to cover the following topics: graphical methods for examining and transforming data; linear least-squares regression; dummy-variables regression; analysis of variance; diagnostic methods for discovering whether a linear model fit to data adequately represents the data; extensions to linear least squares, including logit and probit models, time-series regression, nonlinear
Examining & transforming data, linear least-square regression, dummy-variable regression, etc.
About the Author, John Fox
John Fox is the Senator William Mc Master Professor of Social Statistics in the Sociology Department of Mc Master University in Hamilton, Ontario, Canada. Professor Fox earned a Ph.D. in sociology from the University of Michigan in 1972. He has delivered numerous lectures and workshops on statistical topics, at such places as the summer program of the Inter-University Consortium for Political and Social Research, the annual meetings of the American Sociological Association, and the Oxford Spring School in Quantitative Methods for Social Research. He has written many articles on statistics, sociology, and social psychology, and is the author of several books on statistics, including most recently Applied Regression Analysis and Generalized Linear Models, Second Edition (Sage, 2008) and A Mathematical Primer for Social Statistics (Sage, 2009), and (with Sanford Weisberg) An R Companion to Applied Regression, Second Edition (Sage, 2011). Professor Fox is an active contributor to the R Project for Statistical Computing and is a member of the R Foundation. His work on this book was partly supported by a grant from the Social Sciences and Humanities Research Council of Canada..
"I have never read a book on regression that reflects as broad and profound a grasp of the concepts of statistics as this book does. In every topic John Fox deals with—and he does not avoid the slippery ones—he shows a clarity and depth of understanding that goes beyond anything else I have seen in textbooks that matches the works of the leading researchers within each field."
Booknews
After consideration of the role of statistical data analysis in social research, coverage includes graphical methods for examining and transforming data, linear least-squares regression, dummy-variable regression, and analysis of variance. Other subjects include diagnostic methods for assessing fit of linear model to data, extensions to linear least squares, and empirical methods for assessing sampling variation. More difficult material is segregated in separate chapters and sections. Includes exercises, boxed key concepts and equations, and background appendices. For students and researchers in the social sciences. Annotation c. by Book News, Inc., Portland, Or.
