In the last decade, the open science reform has helped us identify and
prevent questionable research practices. Challenges and proposed
solutions have focused on increasing the reliability and replicability
of empirical findings by improving methodological and statistical
practices. This talk highlights the often under-appreciated role of
measurement and introduces questionable measurement practices (QMPs) as
decisions researchers make that raise doubts about the validity of the
measures. This threatens the validity of the study conclusions. Many
research fields are plagued by a measurement schmeasurement attitude:
QMPs are common, hide a stunning source of researcher degrees of
freedom, and pose a serious threat to valid inferences, but are largely
ignored. This talk describes the scope of the problem overall and
focuses on how transparency is a part of the solution.