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Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks. REL 2020-027
Bruch, Julie; Gellar, Jonathan; Cattell, Lindsay; Hotchkiss, John; Killewald, Phil – Regional Educational Laboratory Mid-Atlantic, 2020
This report provides information for administrators, researchers, and student support staff in local education agencies who are interested in identifying students who are likely to have near-term academic problems such as absenteeism, suspensions, poor grades, and low performance on state tests. The report describes an approach for developing a…
Descriptors: At Risk Students, Data Use, Child Welfare, Predictor Variables
Vernon-Feagans, Lynne; Garrett-Peters, Patricia; Willoughby, Michael – Developmental Psychology, 2016
Behavioral regulation is an important school readiness skill that has been linked to early executive function (EF) and later success in learning and school achievement. Although poverty and related risks, as well as negative parenting, have been associated with poorer EF and behavioral regulation, chaotic home environments may also play a role in…
Descriptors: Student Behavior, Child Behavior, Kindergarten, Predictor Variables
Lewis, Kandia; Sandilos, Lia E.; Hammer, Carol Scheffner; Sawyer, Brook E.; Méndez, Lucía I. – Early Education and Development, 2016
Research Findings: This study explored the relations between Spanish-English dual language learner (DLL) children's home language and literacy experiences and their expressive vocabulary and oral comprehension abilities in Spanish and in English. Data from Spanish-English mothers of 93 preschool-age Head Start children who resided in central…
Descriptors: At Risk Students, Spanish Speaking, Preschool Children, Disadvantaged Youth
Regional Educational Laboratory Southeast, 2011
Over the past decade, research on dropout prevention has become focused on using evidence-based practice, and data-driven decisions, to mitigate students' dropping out of high school and instead, support and prepare students for career and college. Early warning systems or on-track indicators, in which readily available student-level data are used…
Descriptors: Elementary Secondary Education, Dropout Prevention, Evidence, At Risk Students
Fantuzzo, John W.; LeBoeuf, Whitney A.; Rouse, Heather L. – Educational Researcher, 2014
This study investigated the unique relations between school concentrations of student risk factors and measures of reading, mathematics, and attendance. It used an integrated administrative data system to create a combined data set of risks (i.e., birth risks, teen mother, low maternal education, homelessness, maltreatment, and lead exposure) for…
Descriptors: At Risk Students, Well Being, Correlation, Early Parenthood
Tolliver, Armando – ProQuest LLC, 2013
The purpose of this mixed methods study was to explore salient nonacademic factors related to social, economic, and cultural aspects together with traditional academic factors that influenced college retention. The study design employed a mixed-methods sequential explanatory method design, collecting quantitative data for correlation and…
Descriptors: Undergraduate Students, School Holding Power, Socioeconomic Status, Socioeconomic Influences
DeJong, William; DeRicco, Beth; Schneider, Shari Kessel – Journal of American College Health, 2010
Objectives: This exploratory study examined pre-event drinking, or pregaming, by US college students. Participants: 112 undergraduates from 10 Pennsylvania colleges participated. Method: A focus group, including a written questionnaire, was conducted at each institution. Results: Only 35.7% of the participants had not pregamed during the last 2…
Descriptors: Undergraduate Students, Prevention, Focus Groups, Drinking
Rheinheimer, David C.; Grace-Odeleye, Beverlyn; Francois, Germain E.; Kusorgbor, Cynthia – Learning Assistance Review, 2010
A longitudinal research study was conducted at a public university in Pennsylvania on a sample of 129 at-risk students from a state-funded program (Act 101) designed to provide support services for economically and educationally disadvantaged students. This research employed a non-experimental, ex post facto methodology to assess the impact of…
Descriptors: Educationally Disadvantaged, Academic Achievement, At Risk Students, Credits
Heppen, Jessica B.; Therriault, Susan Bowles – National High School Center, 2008
The high school dropout problem has been called a national crisis. Educators, researchers, and policymakers continue to work to identify effective dropout prevention approaches. One important element of such prevention efforts is the identification of students at highest risk for dropping out and then the targeting of resources to keep them in…
Descriptors: Urban Schools, High Schools, Dropout Prevention, Dropouts
Wert, Barbara Yingling; Bauman, Dona C.; Nottis, Katharyn Ellen Ketter – Online Submission, 2010
A growing body of evidence indicates that for some children, early incidences of challenging behaviors are predictors of later difficulties. These incidences of challenging behaviors may predict mental health issues, social adjustment issues and/or increased challenging behaviors that will impede school success and impact transition to adult life…
Descriptors: Check Lists, Behavior Problems, Child Behavior, Social Adjustment
Amos, Jason, Ed. – Alliance for Excellent Education, 2005
"Straight A's: Public Education Policy and Progress" is a biweekly newsletter that focuses on education news and events both in Washington, DC and around the country. The following articles are included in this issue: (1) Show Me the Money: Alliance Analysis Finds That States Could Generate Millions More in Wages by Raising High School…
Descriptors: High Schools, Graduation Rate, Reading Programs, Dropouts
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
International Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers