Researchers may be interested in examining the impact of programs that prepare youth and adults for successful careers but unable to implement experimental designs with true randomization of participants. As a result, these studies can be compromised by underlying factors that impact group selection and thus lead to potentially biased results. Propensity score matching is a quasi-experimental technique supported by the U. S. Department of Education that controls for systematic group differences due to self-selection and extends causal inference into these designs. The problem is that the method remains underutilized despite increased calls in the literature for its use. The purpose of this paper is to reduce barriers to the use of this statistical method by presenting the theoretical framework and an illustrative example of propensity score matching using SPSS (Version 20.0). Heuristic data, syntax, and a sample write-up of the analysis are provided. (Contains 4 tables and 1 figure.)