The assumptions underlying statistical analysis are rarely fully met. Pragmatists face the challenge of knowing when evidence is strong enough to justify action, and that’s where sensitivity analysis helps by testing the robustness of inferences against potential biases. For instance, sensitivity indices can quantify how much of the observed effect would need to be bias-driven to alter conclusions. We are building on these ideas by developing the methods and associated resources listed on this page.
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Try out KonFound-It! to calculate sensitivity analyses through an interactive web app.
Benchmarks
Explore sensitivity analyses calculated for the What Works Clearinghouse through an interactive web app.
