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Regression Models for Categorical and Limited Dependent Variables (Advanced Quantitative Techniques in the Social Sciences), Hardcover, 1 Edition by Long, John Scott


Hardcover: 1 Edition

Publication Date: 1997-01-09
Publisher: SAGE Publications, Inc
Hardcover : 328 pages
Edition: 1 Edition
Author: Long, John Scott
ISBN-10: 0803973748
ISBN-13: 9780803973749

Product Description A unified treatment of the most useful models for categorical and limited dependent variables (CLDVs) is provided in this book. Throughout, the links among the models are made explicit, and common methods of derivation, interpretation and testing are applied. In addition, the author explains how models relate to linear regression models whenever possible. Review "Regression Models for Categorical and Limited Dependent Variables excels at explaining applications of nonlinear regression models. . . The  book provides much practical guidance for the estimation, identification, and validation of models for CLDVs. Each chapter is interspersed with exercises and helpful questions. In summary, the author exceeds his goal to provide ‘a firm foundation’ for further reading from the vast and growing literature on limited and categorical dependent variables." -- Ulf Bockenholt, Chance About the Author Scott Long is Distinguished Professor and Chancellor′s Professor of Sociology and Statistics at Indiana University, Bloomington. He teaches quantitative methods both at Indiana University and at the ICSPR Summer Program. His earlier research examined gender differences in the scientific career. In recent years, he has collaborated with Eliza Pavalko, Bernice Pescsolido, John Bancroft, Julia Heiman and others in studies of health and aging, stigma and mental health, and human sexuality.

Books >> Subjects >> Science & Math >> Mathematics >> Applied