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2 results

Constructing Political Expertise in the News

Constructing Political Expertise in the News
  • Kathleen Searles, Yanna Krupnikov, John Barry Ryan, Hillary Style
  • Published online:
    02 February 2023
    Print publication:
    23 February 2023
  • Expert news sources offer context and act as translators, communicating complex policy issues to the public. Therefore, these sources have implications for who, and what is elevated and legitimized by news coverage. This element considers patterns in expert sources, focusing on a particular area of expertise: politics. As a starting point, it conducts a content analysis tracking which types of political experts are most likely to be interviewed, using this analysis to explain patterns in expert sourcing. Building on the source data, it next conducts experiments and surveys of journalists to consider demand for expert sources. Finally, shifting the analysis to the supply of expert sources, it turns to a survey of faculty to track expert experiences with journalists. Jointly, the results suggest underlying patterns in expert sourcing is a tension between journalists' preferences, the time constraints of producing news, and the preferences of the experts themselves.

  • 9 - Convenience Samples in Political Science Experiments

  • from Part II - Experimental Data
  • Edited by James N. Druckman, Northwestern University, Illinois, Donald P. Green, Columbia University, New York
  • Book:
    Advances in Experimental Political Science
    Published online:
    08 March 2021
    Print publication:
    01 April 2021, pp 165-183

  • Summary

    This chapter provides an overview of convenience sampling in political science experimental research. We first define convenience sampling and track its use in political science research. Next, we focus on the use of three sample types: undergraduate convenience samples, crowdsourced convenience samples, and other types such as social media and non-student convenience sample samples. We review empirical research on the potential issues with each convenience sample type, along with best practices that can be used to address those issues. Overall, we conclude that while there are justified concerns that scholars should be aware of when using convenience samples, much of the empirical research suggests that they provide valid results for experimental treatment effects that reliably replicate across more representative probability samples.