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“Process tracing and program evaluation, or contribution analysis, have much in common, as they both involve causal inference on alternative explanations for the outcome of a single case,” Bennett says. “Evaluators are often interested in whether one particular explanation – the implicit or explicit theory of change behind a program – accounts for the outcome. Yet they still need to consider whether exogenous non-program factors … account for the outcome, whether the program generated the outcome through some process other than the theory of change, and whether the program had additional or unintended consequences, either good or bad.” Bennett discusses how to develop a process-tracing case study to meet these demands and walks the reader through several key elements of this enterprise, including types of confounding explanations and the basics of Bayesian analysis.
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