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The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research
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The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research

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November 2007 | 400 pages | SAGE Publications, Inc
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This sourcebook provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. Written by authors who use these methods in their own research, each chapter gives a nontechnical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher in dealing with difficult data problems. Most chapters include an example based on real data to illustrate basic concepts. Students and faculty interested in diving into a new statistical topic, such as latent growth modeling, multilevel modeling, propensity scoring, or time series analysis, will find each chapter an excellent springboard for acquiring the background needed to jump into more advanced, technical readings.
Michael D. Slater, Andrew F. Hayes, Leslie B. Snyder
Chapter 1: Overview
Kristopher J. Preacher, Andrew F. Hayes
Chapter 2: Contemporary Approaches to Assessing Mediation in Communication Research
Kimberly Henry, Michael D. Slater
Chapter 3: Studying Change and Intraindividual Variation: Longitudinal Multilevel and Structural Equation Modeling
Itzhak Yanovitzky, Arthur Vanlear
Chapter 4: Time Series Analysis: Traditional and Contemporary Approaches
Leslie B. Snyder, Ann O?Connell
Chapter 5: Event History Analysis for Communication Research
Itzhak Yanovitsky, Robert Hornik, Elaine Zanutto
Chapter 6: Estimating Causal Effects in Observational Studies: The Propensity Score Approach
R. Lance Holbert, Michael T. Stephenson
Chapter 7: Commentary on the Uses and Misuses of Structural Equation Modeling in Communication Research
Hee Sun Park, William P. Eveland Jr., Robert Cudeck
Chapter 8: Multilevel Modeling: Studying People in Contexts
Thomas W. Valente
Chapter 9: Communication Network Analysis
David Roskos-Ewoldsen, Beverly Roskos-Ewoldsen
Chapter 10: Scaling and Cluster Analysis
Blair T. Johnson, Lori A. J. Scott-Sheldon, Leslie B. Snyder, Seth M. Noar, Tania B. Huedo-Medina
Chapter 11: Contemporary Approaches to Meta-Analysis in Communication Research
Ofer Harel, Rick Zimmerman, Olga Dekhtyar
Chapter 12: Handling Missing Data in Communication Research

Andrew Frederick Hayes

Andrew Hayes (Ph.D., Cornell University; B.A., San Jose State University) holds joint appointments in Communication and Psychology at The Ohio State University. His training is in quantitative psychology and his specialties are research methodology, psychometrics, data analysis, and the application of psy­chological knowledge and theory to communication processes.  He has published in the statistical meth­odology, social psychology, and public opinion literatures and is author of the forthcoming book Statisti­cal Methods for Communication Science (LEA). More About Author

Michael Slater

Michael D. Slater (Ph.D. Stanford University, 1988) is Social and Behavioral Science Distinguished Professor at the School of Communication, The Ohio State University. He has served as principal investigator of NIH-funded studies of substance abuse prevention efforts, and impact of alcohol-related news coverage, alcohol advertisements, and alcohol warnings as well as conducting investigations of persuasion and media effects. More About Author

Leslie B. Snyder

Leslie B. Snyder (Ph.D. & M.A,, Stanford University; B.A., State University of New York at Albany) is Professor of Communication Sciences at the University of Connecticut.  Her research assesses the impact of different types of media and messages, utilizing surveys, experiments, and meta-analyses.  Recently, she has been a principal investigator of an NIH-funded study on the effects of alcohol advertisements on youth drinking, and has conducted meta-analyses of the effectiveness of communication campaigns on health topics in the U.S. and in developing countries. More About Author

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