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Siegel, Peter; Ramirez, Nestor; Johnson, Ruby – National Center for Education Statistics, 2021
This publication describes the methods and procedures used for the 2017-18 National Postsecondary Student Aid Study, Administrative Collection (NPSAS:18-AC). It also provides information that will be helpful to analysts in accessing and understanding the restricted-use files containing the NPSAS:18-AC data. NPSAS:18-AC includes cross-sectional,…
Descriptors: Student Financial Aid, College Students, Postsecondary Education, Institutional Characteristics
Marini, Jessica; Shaw, Emily; Young, Linda; Ewing, Maureen – College Board, 2018
This study investigated differences in college grading practices (first-year grade point average and course grades) by student and institutional characteristics and by academic discipline to inform and improve our understanding and use as among the most commonly employed criteria in validity and college readiness research. In addition, trends in…
Descriptors: Higher Education, Grading, College Students, Student Characteristics
Darolia, Rajeev; Koedel, Cory – National Center for Analysis of Longitudinal Data in Education Research (CALDER), 2018
We use statewide administrative data from Missouri to examine the explanatory power of high schools over student sorting to colleges and majors at 4-year public universities. We develop a "preparation and persistence index" (PPI) for each university-by-major cell in the Missouri system that captures dimensions of selectivity and rigor…
Descriptors: Majors (Students), High School Students, College Choice, Predictor Variables
Thiele, Tamara; Singleton, Alexander; Pope, Daniel; Stanistreet, Debbi – Studies in Higher Education, 2016
Students' trajectories into university are often uniquely dependent on school qualifications though these alone are limited as predictors of academic potential. This study endorses this, examining associations between school grades, school type, school performance, socio-economic deprivation, neighbourhood participation, sex and academic…
Descriptors: Predictor Variables, Student Characteristics, Academic Achievement, Correlation
Axlund McBride, RaeLyn; Lott, Joe L. – NASPA Journal About Women in Higher Education, 2015
This study explores the relationship between campus environments, female college student peer culture, and the tendency to volunteer while in college. The authors used Bronfenbrenner's ecological model of human development (1977, 2005) as a framework to (a) identify one multi-faceted campus environment that is linked to volunteerism among college…
Descriptors: Correlation, Educational Environment, College Students, Peer Influence
Jensen, Philip A.; Barron, James N. – Journal of College Science Teaching, 2014
Students routinely ignore negative feedback regarding their performances early in college science courses. In this study we analyzed the extent to which two standard forms of feedback, midterm and first-exam grades, correlated with final grades in several biology courses. The courses ranged from an introductory course for nonmajors to upper…
Descriptors: Biology, Predictive Validity, Grade Prediction, Feedback (Response)
Mezza, Alvaro; Sommer, Kamila – Journal of Student Financial Aid, 2016
The recent significant increase in student loan delinquencies has generated interest in understanding the key factors predicting the non-performance of these loans. However, despite the large size of the student loan market, existing analyses have been limited by lack of data. This paper studies predictors of student loan delinquencies using a…
Descriptors: Student Loan Programs, Debt (Financial), Loan Default, Loan Repayment
Davis, Elisabeth; Stephan, Jennifer L.; Lindsay, Jim; Park, So Jung – Regional Educational Laboratory Midwest, 2016
This study examined the early college success of students who graduated from an Indiana high school in 2010 and enrolled immediately in a public two-year or four-year college in Indiana. The study team identified data elements in Indiana's Student Information System that predicted the early college success of this cohort of students. Half of…
Descriptors: High School Students, Public Colleges, Predictor Variables, Academic Achievement
Stephan, Jennifer L.; Davis, Elisabeth; Lindsay, Jim; Miller, Shazia – Regional Educational Laboratory Midwest, 2015
This study examined whether data on Indiana high school students, their high schools, and the Indiana public colleges and universities in which they enroll predict their academic success during the first two years in college. The researchers obtained student-level, school-level, and university-related data from Indiana's state longitudinal data…
Descriptors: High School Students, Public Colleges, Predictor Variables, Academic Achievement
Kaliski, Pamela K.; Godfrey, Kelly E. – College Board, 2014
The focus of this research is to evaluate the relationship between advanced high school science courses and college outcomes, with a focus on the benefit of Advanced Placement Program® (AP®) participation and performance in comparison to other high school options (e.g., dual enrollment, honors, and regular science high school courses). Although…
Descriptors: Secondary School Science, High School Students, Science Instruction, Outcomes of Education
Sanchez, Edgar I. – ACT, Inc., 2013
This study examines the differential effects on student subgroups of using the ACT® College Readiness Assessment Composite (ACTC) score and high school grade point average (HSGPA) for making admission decisions. The subgroup characteristics investigated include race/ethnicity, gender, and income. For each student subgroup, we examine the effect of…
Descriptors: College Readiness, Scores, Grade Point Average, High School Students
Alvendia, Flordeliza E. – Journal on Educational Psychology, 2007
This is a study on the Personality Characteristics of the Scholars from Public and Private High Schools from the urban and rural areas in the Polytechnic University of the Philippines (PUP). The PUP has been a second home to its students and they have witnessed diverse cultures, physiques, and attitudes of students. Since the university caters to…
Descriptors: Personality Traits, Public Schools, Private Schools, High School Students
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Applied Management Sciences, Inc., Silver Spring, MD. – 1979
A Pre-Award Validation Analysis was conducted in 1978-1979 to provide the federal government information about the accuracy of data provided by applicants for Basic Educational Opportunity Grants. New procedures involved: validation of selected applications by college financial aid officers using documentation such as Federal Income Tax forms;…
Descriptors: Accountability, College Students, Disclosure, Eligibility