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Bernard L. Dillard – ProQuest LLC, 2024
The Upward Bound Math and Science (UBMS) program at Temple University (TU) seeks to guide first-generation, low-income high school students from Philadelphia in their quest to obtain postsecondary STEM degrees that lead to related careers. This study aims to evaluate the efficacy of the program by analyzing its students' performance in light of…
Descriptors: Program Evaluation, Statistical Analysis, Program Effectiveness, College Preparation
Kimberly Hopkinson – ProQuest LLC, 2021
The federally funded Gaining Early Awareness and Readiness for Undergraduate Programs (GEAR UP) is designed to "increase the number of low-income students who are prepared to enter and succeed in postsecondary education" (U.S. Department of Education, 2021). Despite this stated purpose, the majority of research on GEAR UP program…
Descriptors: Low Income Students, College Readiness, Federal Programs, Undergraduate Study
Blagg, Kristin; Rainer, Macy; Washington, Kelia – Urban Institute, 2020
Food insecurity is associated with poorer educational outcomes across the education spectrum. At the K-12 level, receipt of food assistance through the Supplemental Nutrition Assistance Program (SNAP, formerly known as Food Stamps) or through universal school lunch is associated with positive, if small, effects on student outcomes. Little is…
Descriptors: Food, Hunger, Federal Programs, Welfare Services
Papay, Clare; Grigal, Meg; Hart, Debra; Kwan, Ngai; Smith, Frank A. – Intellectual and Developmental Disabilities, 2018
Higher education programs for students with intellectual and developmental disabilities (IDD) offer opportunities to engage in college experiences including access to typical college courses. The purpose of the present study was to examine data from federally funded programs in order to describe and identify predictors of inclusive course…
Descriptors: Enrollment, College Freshmen, Intellectual Disability, Inclusion
Tienken, Christopher H.; Colella, Anthony; Angelillo, Christian; Fox, Meredith; McCahill, Kevin R.; Wolfe, Adam – RMLE Online: Research in Middle Level Education, 2017
The use of standardized test results to drive school administrator evaluations pervades education policymaking in more than 40 states. However, the results of state standardized tests are strongly influenced by non-school factors. The models of best fit (n = 18) from this correlational, explanatory, longitudinal study predicted accurately the…
Descriptors: Predictor Variables, Standardized Tests, Test Results, Models
McKibben, Bryce; La Rocque, Matthew; Cochrane, Debbie – Association of Community College Trustees, 2014
Student loan default, defined as federal loan borrowers' failure to make any payments for at least 270 days, is an issue of increasing importance to community colleges and their students. This report takes a unique look at student loan default at nine community colleges across the nation, and how those colleges are working to help students avoid…
Descriptors: Loan Default, Loan Repayment, Two Year College Students, Community Colleges
Woo, Jennie H. – National Center for Education Statistics, 2011
This Statistics in Brief examines private loans by institution sector, tuition amount, student characteristics, and level. This study attempts to answer the following questions: (1) How did undergraduate borrowing from private sources change from 2003-04 to 2007-08 and who obtained private loans?; (2) To what extent did undergraduates combine…
Descriptors: Graduate Students, Student Loan Programs, Income, Student Characteristics
Pontes, Manuel C. F.; Pontes, Nancy M. H. – Online Journal of Distance Learning Administration, 2012
First Generation undergraduate students from low-income households (FGLI students) continue to have substantially higher dropout rates than non first generation students or students from more affluent households despite numerous efforts over many decades to improve graduation rates among this group of students. The purpose of this research is to…
Descriptors: Low Income, Graduation Rate, Distance Education, Dropout Rate
Walters, Amber; Long, Marilee – Journal of Nutrition Education and Behavior, 2012
Objective: To determine whether differences in nutrition knowledge affected how women (a high-involvement group) interpreted intrinsic cues (ingredient list) and extrinsic cues ("all natural" label) on food labels. Methods: A 2 (intrinsic cue) x 2 (extrinsic cue) x 2 (nutrition knowledge expert vs novice) within-subject factorial design…
Descriptors: Expertise, Cues, Nutrition, Inferences
Woodford, Michelle; Mammen, Sheila – Career and Technical Education Research, 2010
Using human capital theory, this paper identifies the factors that may affect the opportunity for rural low-income mothers to pursue post-secondary education or training in order to escape poverty. Dependent variables used in the logistic regression model included micro-level household variables as well as the effects of state-wide welfare…
Descriptors: Human Capital, Poverty, Mothers, Educational Opportunities
Stock, Jason John – Online Submission, 2013
In this empirical study, teacher reported knowledge, use, preparation, and importance of higher-level thinking summative assessment questions were analyzed. This study was conducted using a survey distributed to seven Minnesota high schools that represented urban, suburban, and rural settings. Survey responses were cross tabulated with demographic…
Descriptors: Secondary School Teachers, Knowledge Level, Pedagogical Content Knowledge, Critical Thinking
Johnston, Lloyd D.; O'Malley, Patrick M.; Bachman, Jerald G.; Schulenberg, John E. – National Institute on Drug Abuse (NIDA), 2010
The Monitoring the Future (MTF) study is an ongoing series of national surveys of American adolescents and adults that has provided the nation with a vital window into the important, but largely hidden, problem behaviors of illegal drug use, alcohol use, tobacco use, anabolic steroid use, and psychotherapeutic drug use. For more than a third of…
Descriptors: Narcotics, Incidence, Drug Use, National Surveys
Bailey, Brenda L. – New Directions for Institutional Research, 2006
Data mining of IPEDS data is used to develop models that calculate predicted graduation rates for two- and four-year institutions. (Contains 7 tables and 5 figures.)
Descriptors: Graduation Rate, Models, Data, Prediction
Barone, Sandra – TG (Texas Guaranteed Student Loan Corporation), 2006
This study examines the default behavior of 3,325 undergraduate student borrowers who attended Prairie View A&M University (PVAMU) and entered repayment on their TG-guaranteed Federal Family Education Loan Program (FFELP) loans between October 1, 2000 and September 30, 2002 (fiscal years 2001-2002). Using the Department of Education's official…
Descriptors: Class Rank, Federal Programs, Student Loan Programs, Probability
Silliman, Benjamin Rue – Journal of Student Financial Aid, 2005
This study examined the use of education tax credits at four community colleges using data from the Federal Quality Assurance Program in 1998, the first year of the HOPE Scholarship and Lifetime Learning Tax Credit (LLTC). Preliminary estimates indicated that the two tax credits were expected to primarily benefit middle-income tax filers with…
Descriptors: Taxes, Tax Credits, Paying for College, Student Costs
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