There may, of course, be multiple variables each with that effect size. But unfortunately, effects do not typically add linearly

The conceptual and mathematical machinery of statistical sampling was developed for datasets of a particular size and in a particular context: large enough that random effects are normally distributed in the data, but small enough to be obtained using traditional methods

There is an important cascade of problems in data analysis and interpretation that scale rapidly when theory is not involved

The quantities of learning-related data available today are truly unprecedented.

It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available.