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Categorical Data Analysis for the Behavioral and Social Sciences
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Categorical Data Analysis for the Behavioral and Social Sciences
$62600
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?
This book is well suited for graduate students and researchers in behavioural and social sciences, including psychology, educational psychology, human development, family studies, sociology, public health, and business. It is particularly useful for those seeking to understand and apply categorical data analysis methods without requiring deep mathematical expertise.
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Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market.
Book Hero Magic formatted this description to make it easier to read. While it's new and
still learning, it may not be perfect - your
feedback is welcome!
Description
Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasise specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer.
Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge.
New to the second edition:
- The addition of R syntax for all analyses and an update of SPSS and SAS syntax.
- The addition of a new chapter on GLMMs.
- Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters.
Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book’s accessible approach.
Book Hero Magic summarised reviews for this book. While it's new and still learning, it may not be perfect - your feedback is welcome! HOW HAS THIS BEEN REVIEWED?
Chris Beeley from the Institute of Mental Health, Nottingham, calls it "an accessible walkthrough of the world of Bernoulli, Poisson, log-linear, multinomial, logistic, and all things non-interval," praising it as both an enjoyable read and a valuable reference. Terry Ackerman of the University of North Carolina highlights it as "an excellent resource for researchers and graduate courses," while Sara Templin from the University of Alabama regards it as "a much-needed, user-friendly book" that fills a significant market gap through its dual focus on SPSS and SAS. These endorsements underline the book’s practical approach and educational value.
Book Details
INFORMATION
ISBN: 9780367352745
Publisher: Taylor & Francis Ltd
Format: Hardback
Date Published: 27 May 2021
Country: United Kingdom
Imprint: Routledge
Edition: 2nd edition
Illustration: 78 Tables, black and white; 130 Line drawings, black and white; 130 Illustrations, black and white
Audience: Tertiary education, Professional and scholarly
DIMENSIONS
Width: 178.0mm
Height: 254.0mm
Weight: 453g
Pages: 314
About the Author
Razia Azen is Professor at the University of Wisconsin–Milwaukee, USA, where she teaches basic and advanced statistics courses. Her research focuses on methods that compare the relative importance of predictors in linear models. She received her MS in statistics and PhD in quantitative psychology from the University of Illinois, USA.
Cindy M. Walker is President and CEO of Research Analytics Consulting, LLC. Previously, she was a professor at the University of Wisconsin–Milwaukee, where she taught basic and advanced measurement and statistics courses. Her research focuses on applied issues in psychometrics. She received her PhD in quantitative research methodologies from the University of Illinois at Urbana–Champaign, USA.
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