Categorical Statistics for Communication Research
Samenvatting
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
Specificaties
Inhoudsopgave
<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>
Net verschenen
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