This dataset example introduces Pearson’s chi-squared test for independence. It is often referred to using the symbol χ2. Pearson’s chi-squared test allows researchers to test whether the distributions of two categorical variables are independent of each other or not. In this way, the technique builds directly on cross-tabulation. Many other statistical tests of independence exist, but Pearson’s chi-squared test is one of the most frequently used among them. This example describes Pearson’s chi-squared test, discusses the assumptions underlying it, and shows how to compute and interpret it. 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 formats for news stories most frequently used by network and cable ...
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Pew Research Center. (2012). 2012 Project for Excellence in Journalism News Coverage Index [Data ile]. 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
- Trobia, A. (2008). Chi-square. In P. J. Lavrakas (Ed.), Encyclopedia of survey research methods (pp. 96–97). Thousand Oaks, CA: SAGE Publications, Inc. DOI: http://dx.doi.org/10.4135/9781412963947.n64
- Chi-squared test. (2005). In W. P. Vogt (Ed.), Dictionary of statistics and methodology. (3rd ed., pp. 44-45). Thousand Oaks, CA: SAGE Publications, Inc. http://srmo.sagepub.com/view/dictionary-of-statistics-methodology/n273.xml
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