This dataset example describes a cross-tabulation between two categorical variables. Cross-tabulation allows researchers to compare the distribution of two categorical variables together rather than having to examine their frequency distributions separately. Thus cross-tabulation builds directly on single-variable frequency distributions. Cross-tabulation is most often used to explore whether there is an association between two variables. This example uses a subset of data from the Pew Research Center's Project for Excellence in Journalism News Coverage Index for 2012. Specifically, it presents a cross-tabulation between the geographic focus of a TV news story and whether the story aired on a network or a cable TV news show. Understanding the potential relationship between the focus of news stories and where they are aired can help researchers understand market strategies ...
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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
- Lewis-Beck, M. (2004). Cross-tabulation. In M. S. Lewis-Beck, A. Bryman, & T. Futing Liao (Eds.), The SAGE encyclopedia of social science research methods (p. 231). Thousand Oaks, CA: SAGE Publications, Inc. DOI: http://dx.doi.org/10.4135/9781412950589.n205
- Contingency table. (2005). In W. P. Vogt (Ed.), Dictionary of statistics and methodology (3rd ed., p. 61). Thousand Oaks, CA: SAGE Publications, Inc. http://srmo.sagepub.com/view/dictionary-of-statistics-methodology/n391.xml
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