Replication Data for: A Note on Dropping Experimental Subjects who Fail a Manipulation Check

This repository mirrors the Yale ISPS Data Archive containing the relevant replication files pertaining to Aronow, Baron, Pinson (2018), "A Note on Dropping Experimental Subjects who Fail a Manipulati

NIAID Data Ecosystem60

A Note on Dropping Experimental Subjects who Fail a Manipulation Check

Dropping subjects after a post-treatment manipulation check is common practice across the social sciences, presumably to restrict estimates to a subpopulation of subjects who understand the experiment

DataCite Commons2026-04-08 更新00

Replication Data for: How dropping subjects who failed manipulation checks can bias your experimental results. An illustrative case

Manipulations checks are post-experimental measures widely used to verify that subjects understood the treatment. Some researchers drop subjects who failed manipulation checks in order to limit the an

DataONE2022-09-27 更新60