I am a Political Science PhD candidate at the University of Massachusetts Amherst with a focus in American politics and political methodology. I study representation, participation and mobilization, experimental methods, and political networks. I am also interested in survey methodology and have served as a UMass Poll Research Fellow since 2014. I am the Editorial Book Review Associate for the Journal of Comparative Policy Analysis and work with the Environmental Defense Fund as a research consultant to design and analyze large-scale Get-Out-the-Vote field experiments. 

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Recent Blog Posts

  • Post-Stratification Raking: Questions and Answers about Creating Weights Last week I received some questions about my methods tutorial on creating post-stratification weights. Problems always arise (at least for me) when trying to apply a bit of code ...
    Posted Feb 8, 2017, 6:33 PM by Mia Costa
  • Creating Post-Stratification Weights in R My last post went over how to use pre-specified variable in a dataset to weight survey data. But what if you want to create the weights yourself? If you ...
    Posted Jan 28, 2017, 10:02 AM by Mia Costa
  • Using Weights in R In a dataset, survey weights are captured by a variable that indicates how much each respondent should “count.” For example, a respondent who has a 1 for a weight variable ...
    Posted Apr 2, 2016, 9:37 AM by Mia Costa
  • Count Models in R To demonstrate how to analyze count dependent variables, we first need to create a dependent variable that is a count. Again use the 2008 CCES survey (http://people.umass.edu ...
    Posted Mar 18, 2016, 4:50 PM by Mia Costa
  • Multinomial Logit Models in R For cases when the dependent variable has unordered categories, we use multinomial logit. For example, variable cc309 in the 2008 CESS (http://people.umass.edu/schaffne/cces08.dta) asks respondents ...
    Posted Mar 14, 2016, 11:28 AM by Mia Costa
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