Journalists don’t do math? In an age of open data, that’s an excuse that no longer flies. The list below, compiled from the smart people on the NICAR listserv thanks to a request from The Associated Press’ Michelle Minkoff, contains resources to help you get started with the basics of statistics and data analysis.
“The New Precision Journalism” shows journalists and students of journalism how to use the new technology to analyze data and provide more precise information in easier-to-understand form. It covers the history of journalism in the scientific tradition, various elements and techniques of data analysis, the use of statistics, computers, surveys, and field experiments, database applications, how to do an election survey, and the politics of precision journalism. This is an important resource for working journalists and an indispensable text for all journalism majors.
Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way results are derived from the figures, and points up the countless number of dodges which are used to fool rather than to inform.
In this project-based course, you will have the opportunity to answer a question that you feel passionately about through independent research based on existing data. Students will have the opportunity to develop skills in generating testable hypotheses, preparing data for analysis, conducting descriptive and inferential statistical analyses, and presenting research findings.