Psychologists are emphasizing the importance of predictive conclusions. Machine learning methods, such as supervised neural networks, have been used in psychological studies as they naturally fit prediction tasks. However, we are concerned about whether neural networks fitted with random datasets (i.e., datasets where there is no relationship…

Growth-to-standard models evaluate student growth against the growth needed to reach a future standard or target of interest, such as proficiency. A common growth-to-standard model involves comparing the popular Student Growth Percentile (SGP) to Adequate Growth Percentiles (AGPs). AGPs follow from an involved process based on fitting a series of…

The Elicited Imitation Test (EIT) is widely recognized for its reliability in research settings as a proficiency assessment tool. However, there exists a need to examine its predictive validity in English as a Foreign Language (EFL) classrooms. This study investigates the extent to which the EIT, alongside the Oxford Placement Test (OPT), can…