This dataset example introduces researchers to one-way Analysis of Variance (ANOVA). One-way ANOVA allows researchers to test the differences between means for a particular variable across two or more groups. This example uses a subset of data from the Pew Research Center’s Project for Excellence in Journalism News Coverage Index for 2012. Specifically, we test whether the length of TV news stories differs based on the geographic focus of those stories. Understanding the potential relationship between the focus of news stories and their length can help researchers understand market strategies for TV news shows and how viewers might experience news reports based on whether they watch network or cable news programs. The sample dataset used for this example has been cleaned and organized to make ...
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Pew Research Center. (2012). 2012 Project for Excellence in Journalism News Coverage Index [Data file]. Retrieved from http://www.journalism.org/datasets/2012-news-coverage-index-data-set/
2012 Project for Excellence in Journalism News Coverage Index (NCI)
Pew Research Center
American news stories from newspapers, online news sources, network television, cable news, and radio news
Pew Research Center
Pew Research bears no responsibility for interpretations presented or conclusions reached based on analysis of the data
A multistage, purposive sampling process of media outlets was employed to provide a broad, illustrative but not strictly representative sample of the media universe.
Weights for news sources: Newspapers (0.19), Online (0.30), Network TV (0.15), Cable TV (0.23), Radio (0.12)
01-2012 to 05-2012
- Cramer, D. (2004). One-way Anova. In M. S. Lewis-Beck, A. Bryman, and T. Futing Liao (Eds.), The SAGE encyclopedia of social science research methods (pp. 765–766). Thousand Oaks, CA: SAGE Publications, Inc. DOI: http://dx.doi.org/10.4135/9781412950589.n661
- E. R. Girden (Ed.). (1992). ANOVA. Thousand Oaks, CA: SAGE Publications, Inc. DOI: http://dx.doi.org/10.4135/9781412983419
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