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Categorical Statistics for Communication Research


Categorical Statistics for Communication Research


1. Aufl.

von: Bryan E. Denham

35,99 €

Verlag: Wiley-Blackwell
Format: EPUB
Veröffentl.: 12.12.2016
ISBN/EAN: 9781118927076
Sprache: englisch
Anzahl Seiten: 296

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Beschreibungen

<p><i>Categorical Statistics for Communication</i><i>Research</i> 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.</p> <ul> <li>Provides techniques for analyzing categorical data from a communication studies perspective</li> <li>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</li> <li>Illustrated with examples from different types of communication research such as health, political and sports communication and entertainment</li> <li>Includes exercises at the end of each chapter and a companion website containing exercise answers and chapter-by-chapter PowerPoint slides</li> </ul>
<p>Detailed Contents ix</p> <p>Preface xiii</p> <p>Acknowledgments xix</p> <p>About the Companion Website xx</p> <p>1. Introduction to Categorical Statistics 1</p> <p>2. Univariate Goodness of Fit and Contingency Tables in Two Dimensions 12</p> <p>3. Contingency Tables in Three Dimensions 41</p> <p>4. Log?-linear Analysis 58</p> <p>5. Logit Log?-linear Analysis 90</p> <p>6. Binary Logistic Regression 119</p> <p>7. Multinomial Logistic Regression 153</p> <p>8. Ordinal Logistic Regression 171</p> <p>9. Probit Analysis 198</p> <p>10. Poisson and Negative Binomial Regression 216</p> <p>11. Interrater Agreement Measures for Nominal and Ordinal Data 232</p> <p>12. Concluding Communication 255</p> <p>Appendix A: Chi?]Square Table 259</p> <p>Appendix B: SPSS Code for Selected Procedures 261</p> <p>Index 266</p>
<p><b>Bryan E. Denham</b> 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 <i>Journal of Communication</i>, <i>Journalism & Mass Communication Quarterly</i>, <i>Journalism & Mass Communication Educator</i>, and the <i>Journal of Risk Research</i>.  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.  </p>

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