The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research
Language: English
Published by Sage Publications, Inc, 2008
- Hardcover
- New
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
AbeBooks seller since August 14, 2006
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nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
Seller Inventory # 9781412927901
- Title
- The SAGE Sourcebook of Advanced Data Analysis Methods for Communication Research
- Author
- Andrew F. Hayes
- Publisher
- Sage Publications, Inc
- Publication year
- 2008
- Condition
- Neu
- Binding
- Buch
- Language
- English
- ISBN 10
- 1412927900
- ISBN 13
- 9781412927901
- Item weight
- 945 grams
- Dimensions
- 260x183x26 mm
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
"Synopsis" may belong to another edition of this title.
About the Author
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.
"About the title" may belong to another edition of this title.
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