In this response, we first show that Simpson's proposed analysis answers a different and less interesting question than ours. We then justify the choice of prior for our Bayes factors calculations, but we also demonstrate that the substantive conclusions of our article are not substantially affected by varying this choice.

A recent paper uses Bayes factors to argue a large minority of rigorous, large-scale education RCTs are "uninformative." The definition of "uninformative" depends on the authors' hypothesis choices for calculating Bayes factors. These arguably overadjust for effect size inflation and involve a fixed prior distribution,…

Although important progress has been made in educational evaluation during the past decade new problems believed to be more serious threaten the progress that has been made. These problems are said to be a mixture of logistics and politics and are in large part an outgrowth of the increasing pluralism of American society. (Author/AM)