Multi-modes for Detecting Experimental Measurement Error
Experiments should be designed to facilitate the detection of experimental measurement error. To this end, the authors advocate the implementation of identical experimental protocols employing diverse experimental modes. They suggest iterative nonparametric estimation techniques for assessing the magnitude of heterogeneous treatment effects across these modes. They propose two diagnostic strategies—measurement metrics embedded in experiments, and measurement experiments—that help assess whether any observed heterogeneity reflects experimental measurement error.