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A quasi-experiment is a type of study that attempts to mimic the objectives and structure of traditional (randomized) experiments. However, quasi-experiments differ from experiments in that condition assignment is randomized in experiments whereas it is not randomized in quasi-experiments. This chapter reviews conceptual, methodological, and practical issues that arise in the design, implementation, and interpretation of quasi-experiments. The chapter begins by highlighting similarities and differences between quasi-experiments, randomized experiments, and nonexperimental studies. Next, it provides a framework for discussion of the relative strengths and weaknesses of different study types. The chapter then discusses traditional threats to causal inferences when conducting studies of different types and reviews the most common quasi-experimental designs and how they attempt to reach accurate assessments of the causal impact of independent variables. The chapter concludes with a discussion of how quasi-experiments might be integrated with studies of other types to produce richer insights.
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