Description

Book Synopsis
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.

Table of Contents

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

Categorical Statistics for Communication Research

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    A Paperback / softback by Bryan E. Denham

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      Publisher: John Wiley and Sons Ltd
      Publication Date: 18/10/2016
      ISBN13: 9781118927090, 978-1118927090
      ISBN10: 1118927095

      Description

      Book Synopsis
      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.

      Table of Contents

      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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