Replication and preregistration

Replicability of an experiment’s results is necessary for relying on its results but is extremely difficult to achieve. The difficulty is that besides having the same valid measure across the intended replicates for each dimension and the same comprehensive case population sample coverage, each replicate must have the same fully sufficient set of causally relevant input and effect relevant outcome dimensions. Otherwise the un-included necessary input and outcome dimensions may be at different levels across the intended replicates. Case sample or dimension measure differences across intended replicates can have similar consequences. To ensure all the necessary comparability and so accurate replication of an experiment preregistration and precise oversight of its intended replicates are necessary for every attempt to replicate an experiment in order to promote complete conformity to all the necessary features of its design.