This course includes monitoring approaches based on a small-t theory of the program’s chain of outcomes, as well as approaches to use when the complexity of the situation precludes placing one’s confidence in such a theory of the program.
Considerable attention will be given to the experimental and quasi-experimental methods that are the foundation for much of contemporary impact evaluation. Related topics, including issues in the measurement of outcomes, ensuring detection of meaningful program effects, and interpreting the magnitude of effects, will be covered, some briefly. Emphasis will primarily be conceptual, focusing on the logic of outcome and impact evaluation, the appropriateness of different approaches under different circumstances, and the conceptual and methodological nature of the approaches. Nonetheless, we’ll cover key statistical analysis methods for impact evaluation.
Recommended Audience:
This course is best suited for mid-career evaluators. Some familiarity with program evaluation, research methods, and statistical analysis is necessary to effectively engage in the various topics that are covered.