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The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research

Editat de Andrew F. Hayes, Michael Slater, Leslie Snyder
en Limba Engleză Hardback – 4 feb 2008
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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Specificații

ISBN-13: 9781412927901
ISBN-10: 1412927900
Pagini: 400
Dimensiuni: 178 x 254 x 27 mm
Greutate: 0.87 kg
Ediția:1
Editura: SAGE Publications
Colecția Sage Publications, Inc
Locul publicării:Thousand Oaks, United States

Cuprins

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

Descriere

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.