Over the last few years, there has been evolution, although not a linear one, that has progressed from an emphasis on statistical significance to an emphasis on effect size to an emphasis on both of these concepts to what is believed to be a pragmatic emphasis on replicability. This paper presented two methods of estimating a study's replicability that researchers should consider reporting along with their statistically significant and effect size findings. One method of estimating the replicability of the findings deals with replication in the exact same system. The second method, which may contain subjective probability values, is used to estimate the replicability of a study's findings in a system that may differ from the initial system with respect to salient variables. The incorporation of the replicability estimates delineated in this paper would provide critical information to decision makers about the likelihood that the implementation of a particular method or treatment would produce similar results in their systems. (Contains 2 tables and 12 references.) (Author/SLD)