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Analyzing Media Messages: Using Quantitative Content Analysis in Research [NOOK Book]

Overview

Analyzing Media Messages provides a comprehensive and comprehensible guide to conducting content analysis research. It establishes a formal definition of quantitative content analysis; gives step-by-step instruction on designing a content analysis study; and explores in depth research questions that recur in content analysis, in such areas as measurement, sampling, reliability, data analysis, validity, and technology. This Second Edition maintains the concise, accessible approach of the first edition while ...
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Analyzing Media Messages: Using Quantitative Content Analysis in Research

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Overview

Analyzing Media Messages provides a comprehensive and comprehensible guide to conducting content analysis research. It establishes a formal definition of quantitative content analysis; gives step-by-step instruction on designing a content analysis study; and explores in depth research questions that recur in content analysis, in such areas as measurement, sampling, reliability, data analysis, validity, and technology. This Second Edition maintains the concise, accessible approach of the first edition while offering an updated discussion and new examples. The goal of this resource is to make content analysis understandable, and to produce a useful guide for novice and experienced researchers alike.

Accompanied by detailed, practical examples of current and classic applications, this volume is appropriate for use as a primary text for content analysis coursework, or as a supplemental text in research methods courses. It is also an indispensable reference for researchers in mass communication fields, political science, and other social and behavioral sciences.
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Product Details

  • ISBN-13: 9781135605094
  • Publisher: Taylor & Francis
  • Publication date: 4/21/2006
  • Sold by: Barnes & Noble
  • Format: eBook
  • Edition number: 2
  • Pages: 224
  • File size: 3 MB

Meet the Author

Daniel Riffe is Richard Cole Eminent Professor in Journalism and Mass Communication at UNC-Chapel Hill and editor of Journalism & Mass Communication Quarterly. His research examines mass communication and environmental risk, political communication, and research methodology. Before joining UNC-Chapel Hill, he was Presidential Research Scholar in the Social and Behavioral Sciences at Ohio University.

Stephen Lacy is a professor in the Michigan State University School of Journalism, where he has worked since 1985. He has co-edited two other books and served as co-editor of the Journal of Media Economics.

Frederick G. Fico has been a faculty member in the Michigan State University School of Journalism since 1982. He is a specialist in content analysis, and his research specialty is news coverage of conflict, including elections, and how reporters use sources, particularly women and minorities. His research explores the implications of empirical findings for the values of fairness, balance and diversity in reporting.

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Table of Contents

1 Introduction 1
2 Defining content analysis as a social science tool 23
3 Designing a content analysis 40
4 Measurement 63
5 Sampling 95
6 Reliability 122
7 Validity 156
8 Data analysis 173
9 Computers 203
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