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What are better quasi-experimental practices for evaluating STEM education programs?


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In education research, experimental designs that include treatment and control groups that are randomly assigned to different conditions of an intervention are considered the most rigorous choice for the evaluation of causal claims. However, a randomized controlled trial is frequently not feasible for developing evidence of the impact of many STEM practices, programs, and policies. In this session, researchers from Northwestern University will examine how quasi-experimental designs that include treatment and comparison groups and outcome measures but not random assignment to treatment and control conditions might produce findings of the same quality as experimental designs.