Quantitative Research in Communication

Statistical Procedures in Communication Research is a textbook for use in advanced undergraduate and entry-level graduate courses in research methods and/or quantitative methods. The book is designed to be economical and is focused on core topics in quantitative communication research ranging from basic statistical procedures (such as frequency distributions) to more advanced procedures (such as multiple regression). In addition, annotated excerpts from research journal articles illustrate the use of various procedures.

Table of Contents:
1. Introduction to Quantitative Research An Overview of Quantitative Research Steps in Quantitative Research An Overview of the Book 2. Using Statistics in Quantitative Research Types of Statistics The Logic of Hypothesis Testing Writing Results Sample SPSS Output 3. Independent Samples or Students t-Test Understanding the Independent Samples t-Test Calculating the Independent Samples t-test Assumptions of the t-Test Using Computer Programs to Calculate t-Tests Interpreting Results of an Independent Samples t-Test The Independent Samples t-Test in Communication Research Sample SPSS Printouts 4. ONEWAY Analysis of Variance Understanding the ONEWAY ANOVA Calculating a ONEWAY ANOVA Assumptions of the ONEWAY ANOVA Using a Computer to Calculate ONEWAY ANOVA Interpreting the Results of a Significant ONEWAY The ONEWAY ANOVA in Communication Research Sample SPSS Printouts 5. Factorial ANOVA Understanding the Factorial ANOVA Calculating the Factorial ANOVA Assumptions of ANOVA Using Computer Programs to Calculate Factorial ANOVAs Interpreting the Results of a Significant ANOVA The Factorial ANOVA in Communication Research Sample SPSS Printouts 6. Analysis of Covariance Understanding the Analysis of Covariance Assumptions of the ANCOVA Interpreting the Results of ANCOVA Concluding Comments of ANCOVA The ANCOVA in Communication Research Sample SPSS Printouts 7. Multivariate ANOVA Multivariate Design Repeated Measures The MANOVA in Communication Research Sample SPSS Printouts 8. Chi Square-Statistic Understanding the Chi-Square Statistic Calculating a Chi-Square Assumptions of the Chi-Square Statistic Using Computer Programs to Calculate a Chi-Square Interpreting the Results of a Significant Chi-Square Statistic The Chi-Square in Communication Research Sample SPSS Printouts 9. Simple Bivariate Correlation Understanding the Correlation Coefficient Calculating the Correlation Coefficient Assumptions of the Correlation Coefficient Using Computer Programs to Calculate Correlation Coefficients Interpreting the Results of a Correlation Correcting for Various Artifacts The Correlation Coefficient in Communication Research Sample SPSS Printouts 10. Multiple Regression Understanding Multiple Regression Calculating a Multiple Regression Assumptions of Multiple Regression Using Computer Programs to Calculate Regression Interpreting the Results of a Multiple Regression Multiple Regression in Communication Research Sample SPSS Output 11. Factor Analysis The Purpose of Factor Analysis Exploratory Factor Analysis (EFA) Confirmatory Factor Analysis (CFA) Factor Analysis in Communication Research 12. Advanced Modeling Techniques Understanding Advanced Modeling Describing the Model Understanding the Test Two Methods of Analysis Other Advanced Modeling Approaches Path Analysis in Communication Research 13. Meta-Analysis The Mathematical Argument for Meta-Analysis The Practical Argument for Meta-Analysis The Structure of Writing a Meta-Analysis Meta Analysis in Communication Research Appendix A: Critical Values for the t Statistic Appendix B: Critical Values for the Chi Square Statisic Appendix C: Critical Values for the F Statistic Appendix D: Critical Values for the r Statistic

About the Author :
Mike Allen is Professor in the Department of Communication at UW-Milwaukee. Mike received his Ph.D. from Michigan State University, his MA from the University of Wyoming, and his BA from Lewis and Clark College. His primary research interest is in the area of social influence in which he has more than 150 published works. The International Communication Association awarded him the John E. Hunter memorial award for life time achievement in communication research using meta-analysis. He is past editor of Communication Studies and current editor of Communication Monographs. Scott Titsworth is an Associate Professor in the School of Communication Studies at Ohio University. Scott received his Ph.D. from the University of Nebraska, his MA from Missouri State University, and his BFA from Emporia State University. His primary research interest is instructional communication, with a particular emphasis in connections between affect, emotion, learning, and classroom communication. Scott teaches a variety of graduate and undergraduate classes including research methods, ANOVA, and Regression; in 2008 Scott was awarded the title of “University Professor” for excellence in the classroom. Stephen K. Hunt is an Associate Professor, Carnegie Foundation for the Advancement of Teaching Political Engagement Scholar, Co-Chair of ISU′s American Democracy Project, and Associate Director of the School of Communication at Illinois State University. Stephen received his Ph.D. from Southern Illinois University at Carbondale, his MA from the University of Northern Iowa, and his BFA from Emporia State University. He has published articles on several topics including instructional communication, persuasion, and communication pedagogy. His major research interests include the pedagogy of political engagement, critical thinking, communication skill assessment, and training/mentoring graduate students. In 2008, Stephen received the Stan and Sandy Rives Award for Excellence in Undergraduate Education as well as the University Teaching Award.