When we perform a study, we would like to conclude there is an effect, when there is an effect. But it is just as important to be able to conclude there is no effect, when there is no effect. So how can we conclude there is no effect? Traditional null-significance hypothesis tests won’t be of any help here.
NOTE: This entry is based on the article, “There’s More Than One Way to Conduct a Replication Study: Beyond Statistical Significance” (Psychological Methods, 2016, Vol, 21, No. 1, 1-12) Following a large-scale replication project in economics (Chang & Li, 2015) that successfully replicated only a third of 67 studies, a recent headline boldly reads, “The replication crisis has engulfed economics” (Ortman, 2015).