Random forests are a nonparametric machine learning method, which is currently gaining popularity in the behavioral sciences. Despite random forests' potential advantages over more conventional statistical methods, a remaining question is how reliably informative predictor variables can be identified by means of random forests. The present study…

Successful entrance into specialty training represents a pivotal stage in the careers of medical officers. Selection for entrance into specialty training programs may encompass criteria including research experience, regional exposure, clinical experience, professional achievements, diversity, equity and inclusion factors, and extracurricular…

The DigiLit Framework suggests criteria for digital text and tool selection (content accuracy, intuitiveness, interactivity, quality) and integration (model a literacy skill or strategy, guide a literacy skill or strategy, model digital feature use, guide digital feature use) in literacy lessons. Using survey research, we explored which DigiLit…

Significant literature exists exploring interview and selection processes broadly, but little research specific to Resident Assistant (RA) interviews is available. Studies on RA interview processes include quantitative studies connecting interview scores to job performance or discussions of bias within processes. The purpose of this qualitative…

Whether selection processes contribute to group-level disparities or merely reflect pre-existing inequalities is an important societal question. In the context of observational data, researchers, concerned about omitted-variable bias, assess selection-contributing inequality via a kitchen-sink approach, comparing selection outcomes of…