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Meta-analysis is a statistical method used to provide a systematic, unbiased way to synthesize the results from multiple studies on the same topic. It has become an important tool in policy research, because it has offered researchers solutions to many of the problems they face. Today, studies on important issues are conducted by different people, using different types of data. Making sense of the different findings can seem impossible. Traditionally, the solution has been to rely on methods such as a literature review, in which researchers provide a brief summary of previous studies and their findings. This method however, is subjective, and scientifically unhelpful, since there is no systematic method by which these literature reviews can combine the findings of various studies. Literature reviews also cannot provide significance tests for the joint outcomes of multiple studies. However, meta-analysis is able to provide both synthesized findings in the form of a combined effect size, and combined significance levels. This means that meta-analysis provides the most reliable estimates of the effects of policy actions.

Click here to learn more about meta-analysis.

Our Studies

We have applied meta-analysis to four important public policy issues. This website contains the answers to the following policy questions.

  • Does campaign spending affect election outcomes?
  • Does the minimum wage affect the employment of youth?
  • Do high-stakes tests improve the performance of students?
  • Do charter schools improve student test scores?
  • Click here to go to our papers page, where you can find executive summaries and complete papers for each of these projects.
  • Questions? Comments? Please contact Paul Gary Wyckoff, MAPP Coordinator, at pwyckoff@hamilton.edu.