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Comparative time-series analysis

To produce rigorous site-level estimates of Jobs-Plus impacts (and thereby further enhance corresponding pooled estimates), we are implementing a comparative interrupted time-series analysis. Interrupted time-series analysis is a quasiexperimental design that has been used successfully to evaluate programs in many fields.19 It is based on multiple baseline observations of an outcome before a program is launched plus one or more follow-up observations after the program is launched. Our application of the approach will proceed in two steps: (1) we will measure the extent to which the follow-up outcome measure (e.g., the employment rate) in a Jobs-Plus development deviates from its baseline trend, and (2) we will compare the observed deviation from trend in the Jobs-Plus development with its counterpart for the comparison group. The first step in this process addresses the question, “To what extent was there an improvement in the experiences of residents at the program development?” The second step addresses the question, “To what extent did Jobs-Plus improve these experiences?”