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9781848728363

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An accessible walkthrough of the world of Bernoulli, Poisson, log-linear, multinomial, logistic, and all things non-interval. ... I enjoyed reading this book and I will come back to it both as a reference and to digest some of the weightier chapters. - Chris Beeley, Institute of Mental Health, Nottingham, UK, in The Psychologist This book fills an important need for a practitioner-oriented book on categorical data analyses. It not only could serve as an excellent resource for researchers working with categorical data, but would also make an excellent text for a graduate course in categorical data analysis. - Terry Ackerman, University of North Carolina - Greensboro, USA A much needed book... it fills a significant gap in the market for a user-friendly categorical data analysis book...Anyone wishing to learn categorical data analysis can read this book...The integration of both SPSS and SAS... increases the usability of this book. - Sara Templin, University of Alabama, USA An accessible treatment of an important topic ... Through practical examples, data, and ... SPSS and SAS code, the Azen and Walker text promises to put these topics within reach of a much wider range of students ... The applied nature of the book promises to be quite attractive for classroom use. - Scott L. Thomas, Claremont Graduate University, USA Many social science students do not have the mathematical background to tackle the material covered in categorical data analysis books. What these students need is an understanding of what method to apply to what data, how to use software to analyze the data, and most importantly, how to interpret the results...The book would be very useful for a graduate level course ... for Sociologists and Psychologists. It might also be appropriate for Survey Methodologists. - Timothy D. Johnson, University of Michigan, USA This book does an admirable job of combining an intuitive approach to categorical data analysis with statistical rigor. It has definitely set a new standard for textbooks on the topic for the behavioral and social sciences. - Wim J. van der Linden, Chief Research Scientist, CTB/McGraw-Hill

This is a much needed book! it should fill a significant gap in the market for a user-friendly categorical data analysis book! Many students struggle with the technicality of Agresti!. Anyone wishing to learn categorical data analysis can read this book!this book may indeed be a widely used textbook in many fields, especially the social sciences and education !The integration of both SPSS and SAS! increases the usability of this book. -- Sara Templin, University of Alabama, USA This book provides an accessible treatment of an important topic! Through a range of practical examples, data, and associated SPSS and SAS code, the Azen and Walker text promises to put these topics within reach of a much wider range of students!the authors!take care to define things clearly and provide a sufficient number of examples to keep the reader engaged! the book should appeal to anyone interested in learning more about basic categorical analysis!I will consider adopting it for my courses!the Azen and Walker volume [fills] an important void!if a gap exists here, it is one defined by !students!and instructors!who are put off by the level of detail in the books that currently dominate the market!the applied nature of the book promises to be quite attractive for classroom use. -- Scott L. Thomas, Claremont Graduate University, USAa Many social science students do not have the mathematical background to tackle the material covered in categorical data analysis books.a What these students need is an understanding of what method to apply to what data, how to use software to analyze the data, and most importantly, how to interpret the results...The book would be very useful for a graduate level course ... for Sociologists and Psychologists.a It might also be appropriate for Survey Methodologists. - Timothy D. Johnson, University of Michigan, USA

Author Information

Razia Azen is an Associate Professor in the Department of Educational Psychology at the University of Wisconsin -- Milwaukee. She received her Ph.D. in Quantitative Psychology from the University of Illinois, Urbana -- Champaign. She teaches graduate-level statistics courses, including a course in categorical data analysis, at the University of Wisconsin -- Milwaukee. Cindy M. Walker is an Associate Professor in the Department of Educational Psychology at the University of Wisconsin -- Milwaukee. She received her Ph.D. in Educational Psychology from the University of Illinois, Champaign -- Urbana. She teaches graduate-level measurement and statistics courses, including a course in categorical data analysis, at the University of Wisconsin -- Milwaukee.

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