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Note: Supplemental materials are not guaranteed with Rental or Used book purchases.
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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.
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.
Detailed Contents ix
Preface xiii
Acknowledgments xix
About the Companion Website xx
1. Introduction to Categorical Statistics 1
2. Univariate Goodness of Fit and Contingency Tables in Two Dimensions 12
3. Contingency Tables in Three Dimensions 41
4. Log-linear Analysis 58
5. Logit Log-linear Analysis 90
6. Binary Logistic Regression 119
7. Multinomial Logistic Regression 153
8. Ordinal Logistic Regression 171
9. Probit Analysis 198
10. Poisson and Negative Binomial Regression 216
11. Interrater Agreement Measures for Nominal and Ordinal Data 232
12. Concluding Communication 255
Appendix A: Chi]Square Table 259
Appendix B: SPSS Code for Selected Procedures 261
Index 266
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The Used, Rental and eBook copies of this book are not guaranteed to include any supplemental materials. Typically, only the book itself is included. This is true even if the title states it includes any access cards, study guides, lab manuals, CDs, etc.