Designing a Program Evaluation That Stands Up to Scrutiny
Research Design & Methods Matt DeMonbrun Research Design & Methods Matt DeMonbrun

Designing a Program Evaluation That Stands Up to Scrutiny

Program evaluations often collapse under scrutiny not because the program failed, but because the evaluation design couldn't support the claims being made about it. This post explains how to match your evaluation design to what you can actually demonstrate, and how to build measures and reporting that hold up when funders and stakeholders start asking questions.

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When You Can't Randomize: Designing Rigorous Observational Research
Research Design & Methods Matt DeMonbrun Research Design & Methods Matt DeMonbrun

When You Can't Randomize: Designing Rigorous Observational Research

Randomized controlled trials set the standard for causal inference, but most academic researchers work in conditions where randomization isn't feasible, ethical, or appropriate. This post examines how faculty researchers can design rigorous observational studies — and what methodological choices strengthen or undermine the credibility of non-experimental findings. Researchers who understand these principles will produce studies that hold up to peer review and contribute meaningfully to their fields.

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