Scale Construction & Development

Causal inference in randomized trials will be the main topic of this short course on experimental design and analysis. The design of multilevel experiments, including cluster and multisite designs, statistical power, multiple comparisons, implementation fidelity, and methods for overcoming flaws in active experiments such as attrition and non-compliance, are among the topics covered in this course.

A randomized experiment's main objective is to provide reliable deductions regarding the causes of an intervention's effects. Randomization-based experiments have only lately emerged as the preferred approach for examining the impacts of social interventions, despite the fact that randomized experiments have been the preferred litmus test  for causal inference in medicine since the 1940s.

In the last two decades, for instance, there has been a significant change in the area of management research toward discovering the right interventions through randomized field trials. This course will cover the foundational elements of developing and carrying out…