Our approach is derived from the Causal Replication Framework, which describes conditions under which replication success can be expected.

Our approach is derived from the Causal Replication Framework, which describes conditions under which replication success can be expected.

Using research designs to systematically test and address replication assumptions for understanding effect variation.

Using data science approaches for collecting, processing, and analyzing high quality data in systematic replication approaches.

Using new methods for assessing replication success to identify sources of effect variation.