Analyzing Media Messages Using Quantitative Content Analysis in Research, Second Edition / Edition 2

Analyzing Media Messages Using Quantitative Content Analysis in Research, Second Edition / Edition 2

by Daniel Riffe, Stephen Lacy, Frederick G. Fico
     
 

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,

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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:
9780805852974
Publisher:
Taylor & Francis
Publication date:
06/15/2005
Series:
LEA's Communication Series
Edition description:
REV
Pages:
254
Product dimensions:
6.20(w) x 9.00(h) x 0.80(d)

Table of Contents

Contents: Preface. Introduction. Defining Content Analysis as a Social Science Tool. Designing a Content Analysis. Measurement. Sampling. Reliability. Validity. Data Analysis. Computers.

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