Methods for Studying Replication
From presentation to SREEAs a replication crisis unfolds in science, it has become apparent that the best way to design and analyze replication studies remains an open question. Part of the problem is that “replication” is a broad term that tends to mean different things to different people. This work formalizes the study of replication as a statistical problem, including examining efficient methods for analyzing replication studies and approaches to designing them.
Jacob M. Schauer
Assistant Professor
My research interests involve statistical methods for the social and health sciences.
Talks
Evaluating Replicability: Considerations for Analyses and Implications for Design
As high-profile empirical research has questioned the replicability of scientific findings, it has become clear that there is no …
The Statistics of Replication: Considerations and Pitfalls
Recent research has questioned the replicability of scientific findings in various fields, including medicine, economics, and …
Design and Analysis of Replication Studies: Considerations and Pitfalls
Though replication is central to the scientific method, applied statisticians are seldom asked their input on replication studies in …
Statistical challenges for studying replication
Recent empirical research has questioned the replicability of scientific findings in various fields, including medicine, economics, and …
Assessing replication: Lessons from empirical research and applied statistics
Given how important replication is to the logic and rhetoric of science, one would expect a standard approach to designing and …
Assessing replication: Lessons for education science
Given how important replication is to the logic and rhetoric of science, one would expect a standard ap- proach to designing and …
Replication in education science
Since experiments in education often sample from different populations and treatment fidelity can fluctuate, it would seem inevitable …