基本説明
Provides an introductory treatment of various advanced statistical methods applied to research in the field of communication.
Full Description
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
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
