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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 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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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.
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Categorical Statistics for Communication Research
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Zustand: New. Über den AutorBryan 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 cat. Artikel-Nr. 900120677
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Categorical Statistics for Communication Research
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Zustand: New. 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. Num Pages: 296 pages. BIC Classification: GPS; GTC; PBT. Category: (P) Professional & Vocational. Dimension: 161 x 236 x 19. Weight in Grams: 498. . 2016. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. Artikel-Nr. V9781118927106
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