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This paper has presented the basics of quasi-experimental evaluation design, with a focus on considerations for controlling selection bias and for choosing comparison groups. Quasi-experimental designs are usually the best approach to use for evaluating social programs because one-group designs are inadequate for establishing cause and effect, and two-group experimental designs are very often impractical. Complex analytical procedures are required to isolate the effect of the program from many other potential causes under this design, however.