Categorical Statistics for Communication Research

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Description

Categorical Statistics for CommunicationResearch presents scholars with a discipline-specific guide to categorical data analysis. The text blends necessary background information and formulas for statistical procedures with data analyses illustrating techniques such as log- linear modeling and logistic regression analysis.

Provides techniques for analyzing categorical data from a communication studies perspective
Provides an accessible presentation of techniques for analyzing categorical data for communication scholars and other social scientists working at the advanced undergraduate and graduate teaching levels
Illustrated with examples from different types of communication research such as health, political and sports communication and entertainment
Includes exercises at the end of each chapter and a companion website containing exercise answers and chapter-by-chapter PowerPoint slides

About the Author

Bryan E. Denham is Professor of Communication at Clemson University. An expert on logistic regression and log-linear modeling, he has published articles on teaching empirical research methods and applying categorical statistics to social data in outlets such as the Journal of Communication, Journalism & Mass Communication Quarterly, Journalism & Mass Communication Educator, and the Journal of Risk Research. He has taught empirical methods at both the graduate and undergraduate levels and has frequently served as a resource for both faculty and students in the use of categorical statistics from areas such as health, political, and science communication.

To Purchase this product, please visit

https://dev.store.wiley.com/en-sg/Categorical+Statistics+for+Communication+Research-p-9781118927076