The Sage Sourcebook of Advanced Data Analysis Methods for Communication Research

The Sage Sourcebook of Advanced Data Analysis Methods for Communication Research

By: Michael D. Slater (editor), Andrew F. Hayes (editor), Leslie Snyder (editor)Hardback

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Description

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.

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About Author

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 psy-chological knowledge and theory to communication processes. He has published in the statistical meth-odology, social psychology, and public opinion literatures and is author of the forthcoming book Statisti-cal Methods for Communication Science (LEA). 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. 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.

Contents

Chapter 1: Overview - Michael D. Slater, Andrew F. Hayes, Leslie B. Snyder Chapter 2: Contemporary Approaches to Assessing Mediation in Communication Research - Kristopher J. Preacher, Andrew F. Hayes Chapter 3: Studying Change and Intraindividual Variation: Longitudinal Multilevel and Structural Equation Modeling - Kimberly Henry, Michael D. Slater Chapter 4: Time Series Analysis: Traditional and Contemporary Approaches - Itzhak Yanovitzky, Arthur Vanlear Chapter 5: Event History Analysis for Communication Research - Leslie B. Snyder, Ann O?Connell Chapter 6: Estimating Causal Effects in Observational Studies: The Propensity Score Approach - Itzhak Yanovitsky, Robert Hornik, Elaine Zanutto Chapter 7: Commentary on the Uses and Misuses of Structural Equation Modeling in Communication Research - R. Lance Holbert, Michael T. Stephenson Chapter 8: Multilevel Modeling: Studying People in Contexts - Hee Sun Park, William P. Eveland Jr., Robert Cudeck Chapter 9: Communication Network Analysis - Thomas W. Valente Chapter 10: Scaling and Cluster Analysis - David Roskos-Ewoldsen, Beverly Roskos-Ewoldsen Chapter 11: Contemporary Approaches to Meta-Analysis in Communication Research - Blair T. Johnson, Lori A. J. Scott-Sheldon, Leslie B. Snyder, Seth M. Noar, Tania B. Huedo-Medina Chapter 12: Handling Missing Data in Communication Research - Ofer Harel, Rick Zimmerman, Olga Dekhtyar

Product Details

  • publication date: 05/02/2008
  • ISBN13: 9781412927901
  • Format: Hardback
  • Number Of Pages: 400
  • ID: 9781412927901
  • weight: 871
  • ISBN10: 1412927900

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  • Saver Delivery: Yes
  • 1st Class Delivery: Yes
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