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Informationen zum Autor 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). 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. Klappentext A must-have volume for every communication researcher's library, The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research 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 non-technical overview of what the method is and how it can be used to answer communication-related questions or aide the researcher dealing with difficult data problems. 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. Zusammenfassung Provides an introductory treatment of various advanced statistical methods applied to research in the field of communication. This book contains chapters which give 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. Inhaltsverzeichnis 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 R...
