By Daniel Riffe
Examining Media Messages: utilizing Quantitative content material research in examine offers a finished and understandable advisor to engaging in content material research examine. It establishes a proper definition of quantitative content material research; offers step by step guideline on designing a content material research research; and explores intensive learn questions that recur in content material research, in such parts as size, sampling, reliability, info research, validity, and know-how. This moment variation continues the concise, available procedure of the 1st variation whereas supplying an up to date dialogue and new examples. The objective of this source is to make content material research comprehensible, and to provide an invaluable consultant for beginner and skilled researchers alike. observed via precise, sensible examples of present and vintage functions, this quantity is suitable to be used as a first-rate textual content for content material research coursework, or as a supplemental textual content in learn tools classes. it's also an critical reference for researchers in mass communique fields, political technology, and different social and behavioral sciences.
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Additional resources for Analyzing Media Messages: Using Quantitative Content Analysis in Research (Lea Communication Series)
Research design is explored more fully in chapter 3 (this volume). 26 Analyzing Media Messages Replicable However, to tie systematic and replicable together in this definition usually suggests issues of reliability, objectivity, and clarity in description of research procedures. Two defining traits of science are objectivity and reproducibility or replicability. To paraphrase Wimmer and Dominick (2003), a particular scientist’s “personal idiosyncrasies and biases” (p. 141), views, and beliefs should not influence either the method or findings of an inquiry.
An analysis designed to test whether incumbent elected officials are treated differently than challengers requires, at minimum, the collection of content data on both types of officials. FIG. 1. Purposes of content analysis that guide research design. Designing a Content Analysis 43 It is not our intent in this book to suggest problems or issues for researchers to examine or to direct research focus. It is, however, our goal in this book to provide guidance in using content analysis. The relationship of conceptualization or an abstract vision of a study to the concrete and precise research design of that study—analogous to the architect’s work—is the focus of this chapter.
They also provide guidance on how to recognize and categorize that data and what level of measurement to use. For example, if a hypothesis specifies a particular variable relationship or effect, then the data should be collected in a way that gives that effect a chance to emerge. , comparisons of proportions or averages) will address the hypothesis or research question. Riffe (2003, pp. 184–188) called this “preplanning” essential to effective data analysis. This kind of visualization before the study is undertaken feeds back into decisions about what content to examine, the level at which it should be measured, and the best analysis technique to be employed.
Analyzing Media Messages: Using Quantitative Content Analysis in Research (Lea Communication Series) by Daniel Riffe