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SOC 424: Quasi-Experimental Design in R

Sociology · 5 credits

Congress enacted the Evidence-Based Policymaking Act in 2018, which tasks federal agencies and policymakers with making data more accessible so that we can make better-informed policy decisions by investing in “what works” according to researchers. However, a number of debates – What constitutes good evidence of effectiveness? Whose evidence should we prioritize? What about topics that we can’t study using traditional causal methods? Are quasi-experimental designs (QEDs) rigorous enough? – make it difficult to identify “what works.” This class will equip students to better understand these debates and evaluate for themselves “what works” by learning a variety of analytic techniques in R that are commonly used in program evaluation studies.

Not offered in the listed terms.

Prerequisites

SOC 304 and SOC 306 and SOC 320

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From Banner's catalog for Spring 2027. Banner lists only the requisites it enforces, so check the catalog entry too.

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