This chapter describes how the regression-discontinuity design can be used to in practice to evaluate programs and initiatives in higher education by emulating a true random experiment. The details of establishing a cause-and-effect relationship along with the general theory behind the regression-design are presented in addition to issues such as correct model specification, sample size considerations, including additional control variables, modeling selection bias, and addressing various threats to validity. The regression-discontinuity design is then illustrated in detail by presenting an evaluating of whether developmental educational programs have a causal impact on five-year graduation rates.
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Lesik, S.A. (2008). Studying the Effectiveness of Programs and Initiatives in Higher Education Using the Regression-Discontinuity Design. In: Smart, J.C. (eds) Higher Education. Handbook of Theory and Research, vol 23. Springer, Dordrecht. https://doi.org/10.1007/978-1-4020-6959-8_9
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