You can preview and download the dataset from this tab. The dataset is available in multiple file formats, compatible with most common software packages. You can also view and download the Codebook, which provides information on the structure, contents, and layout of the dataset.
This dataset is designed for teaching Pearson’s chi-squared test. The dataset is a subset of data derived from the Pew Research Center’s Project for Excellence in Journalism News Coverage Index for 2012, and the example shows how to test whether the formats for news stories most frequently used by network and cable TV news programs differ from each other. The dataset file is accompanied by a teaching guide, a student guide, and a how-to guide for SPSS.
In this tab you will find guides on using this dataset. The Teaching Guide is designed for faculty who are teaching research methods and statistics, with suggestions on how to use the dataset in lab exercises, in homework assignments and as exam questions. The Student Guide introduces the method for students, and can be used in teaching to provide students with an introductory overview of the method or test. The How-to Guide shows how to perform the technique or test using data analysis software.
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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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