Categorical statistics for communication research / Bryan E. Denham.

Format:

Book

Author/Creator:

Denham, Bryan E., 1967- author.

Language:

English

Subjects (All):

Communication--Research--Statistical methods.

Communication.

Statistics.

Physical Description:

1 online resource (293 pages) : illustrations, tables

Edition:

1st ed.

Place of Publication:

Chichester, England : Wiley Blackwell, 2017.

Summary:

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

Contents:

Intro

Title Page

Copyright Page

Contents

Detailed Contents

Preface

Acknowledgments

About the Companion Website

Chapter 1 Introduction to Categorical Statistics

Historical Overview

Probability Distributions and Parameter Estimation

Example of Maximum Likelihood Estimation

A Note on Statistical Software

Chapter Summary

Chapter Exercises

Notes

References

Chapter 2 Univariate Goodness of Fit and Contingency Tables in Two Dimensions

Chi-Square Test for Goodness of Fit

Chi-Square Test of Independence in Contingency Tables

Likelihood Ratio Statistic

Exact Tests for Small Samples

McNemar's Test for Correlated Samples

Measures of Association

Odds Ratio

Relative Risk

Phi Coefficient

Cramér's V

Pearson's Contingency Coefficient

Kendall's Tau

Goodman and Kruskal's Gamma

Somers' d

Points of Concern in Bivariate Analyses

SPSS Analyses

Testing Goodness of Fit in SPSS

Testing Independence in SPSS

A Note on Style

Chapter 3 Contingency Tables in Three Dimensions

Moving from Two to Three Dimensions

Cochran-Mantel-Haenszel Test

Breslow-Day Test

An Example in Public Health

An Example in Political Communication

Note

Chapter 4 Log-linear Analysis

Development of Log-linear Models

Examples of Published Research

Log-linear Analysis: Fundamentals

Two-way Tables

Three-way Models

Goodness of Fit and Model Selection

Descriptive Statistics and Residuals for the Fitted Model

Parameter Estimation

Ordinal Log-linear Analysis

Three Ordinal Measures

More Complex Models

Visual Displays

Chapter 5 Logit Log-linear Analysis.

Examples of Published Research

Logit Log-linear Analysis: Fundamental Components

Logit Model with One Response Measure

Logit Model with Two Response Measures

SPSS Example

Correspondence Analysis

Chapter 6 Binary Logistic Regression

Binary Logistic Regression: Fundamentals

Simple Logistic Regression Analysis

Multiple Logistic Regression Analysis

Interactions

Model Assessment

Additional Statistics

Diagnostic Considerations

Binary Logistic Regression in SPSS

Chapter 7 Multinomial Logistic Regression

Multinomial Logistic Regression: Fundamentals

Simple Multinomial Logistic Regression Analysis

Multiple Multinomial Logistic Regression Analysis

Conditional Logit Modeling

Multinomial Logistic Regression in SPSS

Chapter 8 Ordinal Logistic Regression

Ordinal Logistic Regression: Fundamentals

Simple Ordinal Logistic Regression Analysis

Multiple Ordinal Logistic Regression Analysis

Ordinal Logistic Regression in SPSS

Chapter 9 Probit Analysis

Probit Analysis: Fundamentals

Binary Probit Analysis

Ordinal Probit Analysis

Multinomial Probit Analysis

Chapter 10 Poisson and Negative Binomial Regression

Poisson Regression: Fundamentals

Negative Binomial Regression: Fundamentals

Additional Techniques

References.

Chapter 11 Interrater Agreement Measures for Nominal and Ordinal Data

Analysis of Nominal Data with Two Raters

Cohen's Kappa

Scott's Pi

Krippendorff's Alpha

Analysis of Nominal Data with Multiple Raters

Fleiss's Generalized Kappa

Analysis of Ordinal Data with Two Raters

Cohen's Weighted Kappa

Intraclass Correlation Coefficient

Analysis of Ordinal Data with Multiple Raters

Kendall's Coefficient of Concordance

Kappa Coefficient in SPSS

Intraclass Correlation Coefficients in SPSS

Chapter 12 Concluding Communication

Appendix A: Chi-Square Table

Appendix B: SPSS Code for Selected Procedures

Index

EULA.

Notes:

Includes bibliographical references at the end of each chapters and index.

Description based on print version record.

ISBN:

1-118-92708-7