1. Exploring a Generalizable Machine Learned Solution for Early Prediction of Student At-Risk Status Coleman, Chad 2021 Theses Educational psychologyStatisticsProblem youthExaminations--ScoringDropout behavior, Prediction of
2. Investing in the Inner City Through Urban Public Schools: Evaluating California’s Equitable Education Finance Policy Peña, Madeline 2021 Theses City planningUrban schools--PlanningProblem youthUrban youth--EducationInner citiesBrown, Jerry, 1938-
3. Looking At The Whole Child Through Student Health Profiles: A Latent Class Analysis of CDC 2019 National Youth Risk Behavior Survey Data Yom, Tiana 2021 Theses Health educationHigh school students--Social conditionsProblem youthBullying in schoolsTeenagers--Suicidal behavior
4. Navigating the System: How LGBTQI Youth Who Engage in Exchanging Sex Seek Support Hanser, Raviva S. 2018 Theses Sexual minorities--PopulationHuman rightsSexual minority youthProblem youthGay youth--Services forMinority youth--Services for
5. Young Children at Risk: National and State Prevalence of Risk Factors Robbins, Taylor A.; Stagman, Shannon M.; Smith, Sheila 2012 Reports Poor childrenPoor children--Health and hygienePoor children--EducationProblem youthSocial sciences