Measurement replication is the ability to replicate a study’s recorded measurements, using the original study’s same measurement parameters or coding rules, the same research design, and the original sample of the same population. Measurement replication is an important element of replication writ large and is essential for knowledge accumulation, since failure to replicate measurement casts doubt on the internal validity of a studies based on those data. Measurement replication is equally important for both quantitative and qualitative scholarly research, having revealed measurement errors in both types of research. This chapter argues for the continued need for measurement replication for exposing errors in fact, interpretation and context, and consistency of application.