A considerable amount of work has been produced in quantitative fields addressing what has colloquially been called the “replication crisis.”1 By this is meant three related phenomena: 1) the low statistical power of many studies resulting in an inability to reproduce a similar effect size; 2) a bias towards selecting statistically “significant” results for publication; and 3) a tendency to not make data and code available for others to use.