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Categorical Statistics For Communication Research

by Bryan E. Denham
Save 35% Save 35%
Current price ₹2,668.00
Original price ₹4,104.00
Original price ₹4,104.00
Original price ₹4,104.00
(-35%)
₹2,668.00
Current price ₹2,668.00

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Book cover type: Paperback
  • ISBN13: 9781118927090
  • Binding: Paperback
  • Subject: Communication, Mass Media and Journalism
  • Publisher: Wiley
  • Publisher Imprint: Wiley-Blac
  • Publication Date:
  • Pages: 296
  • Original Price: USD 44.95
  • Language: English
  • Edition: N/A
  • Item Weight: 386 grams
  • BISAC Subject(s): Research

About the Book Categorical Statistics for Communication Research 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

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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