Do We Know Who Will Drop Out?: A Review of the Predictors of Dropping out of High School: Precision, Sensitivity, and Specificity

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Examining the Impact of Policy and Practice Interventions on High School Dropout and School Completion Rates (2015, background): “Identification of low or failing grades especially when considered across time may be the most accurate single predictor of dropout (Allensworth & Easton, 2007; Bowers et al., 2013) Risk factors have generally been described in two groups (Rumberger, 1983, 1995; Suh & Suh, 2007): status risk factors”
Factors that influence early school leaving: a comprehensive model (2019, background): “These include: grandparent influence, legal issues, students’ level of maturity or inequalities linked to language (Bowers, Sprott, and Taff 2013; Holt, Range, and Pijanowski 2009; Ngwakwe 2014; Tukundane et al. 2015).”
A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes (2015, methodology): “[8] systematically reviewed this vast literature, finding that these commonly recorded student features can robustly predict future student outcomes.”
A Century of Grading Research (2016, unknown): “…to have low criterion validity for overall schooling outcomes (e.g., high school graduation and admission to postsecondary institutions), grades consistently predict K–12 educational persistence, completion, and transition from high school to college (Atkinson & Geiser, 2009; Bowers et al., 2013).”