Categorical Statistics for Communication Research - Denham, Bryan E.
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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…mehr

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Produktbeschreibung
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
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Autorenporträt
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.