Adjusting for baseline pre-intervention characteristics between treatment groups, through the use of propensity score matching methods, is an important step that enables researchers to do causal inference with confidence. ...

This retrospective study focuses on the unique contribution of the various technology-based interventions to improve the learning experience and performance of first-year statistics students. Eight consecutive cohorts from ...

Parametric methods are effective and appropriate when data sets are obtained by well-defined random sampling procedures, the population distribution for responses is well-defined, the null sampling distributions of suitable ...