Bridging the Gap between Randomized and Non-Randomized Experiments: Evaluating Selection Bias Reduction using Two Techniques

• In Event: Research in Progress Roundtable Session 3
  In Invited Roundtable: Education Research Methods: Narrative Data Collection, Experimental Design, Sequential Explanatory Mixed Methods, and Longitudinal Count Data Analysis (Table 17)

Abstract

This research investigates advanced methods for handling missing data and estimating propensity scores in quasi-experimental designs by comparing a traditional technique, in which these are done sequentially, to an innovative approach, that does them concurrently. The primary goal is to evaluate the efficiency of these techniques in reducing selection bias and accurately estimating treatment effects using data from a doubly randomized preference trial. The project seeks to contribute valuable insights into the field of causal inference and its applications in educational research and beyond.

Author

• Funke Anuoluwapo Dada, University of Central Florida