Tests of statistical significance often play a decisive role in establishing the empirical warrant of evidence-based research in education. The results from pattern-based assessment items, as introduced in this paper, are categorical and multimodal and do not immediately support the use of measures of central tendency as typically related to…

This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…

Testing strategies can either have a very positive or negative effect on the learning process. The aim of this study was to examine the degree of consistency in evaluating the practicality and logic of questions from a medical school pathophysiology test, between students and family medicine doctors. The study engaged 77 family medicine doctors…