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Porta, Carolyn M.; Watson, Ryan J.; Doull, Marion; Eisenberg, Marla E.; Grumdahl, Nathan; Saewyc, Elizabeth – Journal of School Health, 2018
Background: Sexual minority young people have demonstrated higher rates of emotional distress and suicidality in comparison to heterosexual peers. Research to date has not examined trends in these disparities, specifically, whether there have been disparity reductions or increases and how outcomes have differed over time by sex and sexual…
Descriptors: Emotional Problems, Anxiety Disorders, Minority Group Students, Trend Analysis
Norbury, Heather; Wong, Manyee; Wan, Yinmei; Reese, Kelly; Dhillon, Sonica; Gerdeman, R. Dean – Regional Educational Laboratory Midwest, 2012
Recent estimates suggest that of U.S. public high school freshmen in the fall of 2005 24.5 percent did not graduate on time in 2008/09 (Stillwell, Sable, and Plotts 2011). As states and school districts attempt to boost graduation rates, they face the challenge of identifying which students are at risk of not graduating on time. Early warning…
Descriptors: High School Freshmen, Grade 9, Graduation Rate, Prediction
Cratty, Dorothyjean – Economics of Education Review, 2012
Nineteen percent of 1997-98 North Carolina 3rd graders were observed to drop out of high school. A series of logits predict probabilities of dropping out on determinants such as math and reading test scores, absenteeism, suspension, and retention, at the following grade levels: 3rd, 5th, 8th, and 9th. The same cohort and variables are used to…
Descriptors: At Risk Students, Dropouts, High School Students, Probability
Fairchild, Susan; Carrino, Gerard; Gunton, Brad; Soderquist, Chris; Hsiao, Andrew; Donohue, Beverly; Farrell, Timothy – New Visions for Public Schools, 2012
New Visions for Public Schools has leveraged student-level data to help schools identify at-risk students, designed metrics to capture student progress toward graduation, developed data tools and reports that visualize student progress at different levels of aggregation for different audiences, and implemented real-time data systems for educators.…
Descriptors: Urban Schools, Data Analysis, Identification, At Risk Students
Norbury, Heather; Wong, Manyee; Wan, Yinmei; Reese, Kelly; Dhillon, Sonica; Gerdeman, R. Dean – Regional Educational Laboratory Midwest, 2012
Recent estimates suggest that of U.S. public high school freshmen in the fall of 2005 24.5 percent did not graduate on time in 2008/09 (Stillwell, Sable, and Plotts 2011). As states and school districts attempt to boost graduation rates, they face the challenge of identifying which students are at risk of not graduating on time. Early warning…
Descriptors: High School Freshmen, Grade 9, Graduation Rate, Prediction
Heppen, Jessica; Sorensen, Nicholas; Allensworth, Elaine; Walters, Kirk; Stachel, Suzanne; Michelman, Valerie – Society for Research on Educational Effectiveness, 2012
The consequences of failing core academic courses during the first year of high school are dire. In the Chicago Public Schools (CPS), only about one-fifth of off-track freshmen--students who fail more than one semester of a core academic course and/or fail to earn enough credits to be promoted to 10th grade--graduate high school, compared with…
Descriptors: High School Students, Grade 9, High School Freshmen, Public Schools
Neild, Ruth Curran; Balfanz, Robert – Philadelphia Youth Network, 2006
This report uses a unique set of data obtained from the Kids Integrated Data System (KIDS), which is housed at the University of Pennsylvania's Cartographic Modeling Laboratory. The KIDS system merges individual-level data on young people from the School District of Philadelphia and the city's social service agencies, including the Department of…
Descriptors: Dropouts, High School Students, High School Freshmen, Transfer Students