Dissertation Research

In my dissertation, I examined the processual patterns of individual activist participation by modeling Bennett and Segerberg's Logic of Connective Action using a novel psychologically-based mixed-methods approach that combined social media content analysis and confirmatory factor analysis (CFA). To build and test my model, I culled and analyzed tweet streams from 100 different activist hashtag campaigns related to the Black Lives Matter movement. The purpose of this study was to demonstrate how connective action can be operationalized through quantification, illustrate how in situ data sources such as tweets can be used for statistical modeling (which is an area where psychometrics has not been extensively applied), and offer a resource for activists interested in their use of social media to enact social change.

Methods used:

  • Content analysis
  • Latent measurement modeling
    • Exploratory factor analysis
    • Confirmatory factor analysis
  • Design of a statistical measure based on operationalized qualitative data

Software:

  • Mplus
  • STATA
  • SPSS

Project output:

  • 1 published dissertation
  • 2 peer-reviewed journal articles [under review]

Description

  • University of Denver

  • 2017-2010