The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research

1. Auflage 2007
ISBN: 978-1-4129-2790-1
Verlag: Sage Publications, Inc

Buch, Englisch, 400 Seiten, Format (B × H): 183 mm x 260 mm, Gewicht: 945 g

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.

Key Features and Benefits

- Covers a variety of statistical topics, methodologies, and examples tailored specifically for communication researchers and students

- Provides worked examples to illustrate basic concepts, helping readers make the leap between abstract concepts and specific interpretation of various statistical methods

- Helps to expand readers' statistical repertoire and to better understand the methods being used increasingly often in the communication literature

Autoren/Hrsg.

Hayes, Andrew F.

Slater, Michael

Snyder, Leslie

Fachgebiete

• Sozialwissenschaften Medien- und Kommunikationswissenschaften Kommunikationswissenschaften

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 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

Über Autor(innen)

Snyder, Leslie
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.

Slater, Michael
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.

Hayes, Andrew F.
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).