This dataset example introduces researchers to two-way Analysis of Variance (ANOVA). Two-way ANOVA is an extension of one-way ANOVA that allows researchers to examine the influence of two different categorical variables on one continuous variable. Two-way ANOVA lets researchers assess the main effect of each categorical variable on the continuous variable in question as well as the interactive effect of the two categorical variables combined. 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 where in the broadcast the story is placed and whether the news program in question airs on network TV or cable TV. Understanding the factors ...
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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
- Rutherford, A. (2006). Analysis of variance (ANOVA). In V. Jupp (Ed.), The SAGE dictionary of social research methods (pp. 4–5). London, UK: SAGE Publications, Ltd. Retrieved from http://srmo.sagepub.com/view/the-sage-dictionary-of-social-research-methods/n3.xml
- Wahed, A., and Tang, X. (2010). Analysis of Variance (ANOVA). In N. J. Salkind (Ed.), Encyclopedia of research design (pp. 27–30). Thousand Oaks, CA: SAGE Publications, Inc. DOI: http://dx.doi.org/10.4135/9781412961288.n11
- E. R. Girden (Ed.). (1992). ANOVA. Thousand Oaks, CA: SAGE Publications, Inc. DOI: http://dx.doi.org/10.4135/9781412983419
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