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Syahrul Amin; Karen E. Rambo-Hernandez; Blaine A. Pedersen; Camille S. Burnett; Bimal P. Nepal; Noemi V. Mendoza Diaz – Cogent Education, 2024
This study examined the persistence of first-year engineering students at a Hispanic-Serving Institution (HSI) and a Historically Black College and University (HBCU) pre- and mid-COVID-19 interruptions and whether their characteristics (race/ethnicity, financial need status, first-generation status, SAT scores) predicted their persistence. Using…
Descriptors: College Freshmen, Engineering Education, Academic Persistence, COVID-19
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Donald Wittman – Educational Measurement: Issues and Practice, 2024
I study student characteristics and academic performance at the University of California, where consideration of an applicant's ethnicity has been banned since 1996 and SAT scores were used in admitting students to the university until fall 2021. I show the following: (1) SAT scores were more important than high school grades in predicting…
Descriptors: College Entrance Examinations, Admission Criteria, Grade Point Average, Disproportionate Representation
Region 1 Comprehensive Center, 2021
To better understand the implications of the spring 2020 disruptions on student learning, the New Hampshire Department of Education (NHDOE) administered the SAT assessment to all 12th graders in the state in fall 2020 and a truncated version of the New Hampshire Statewide Assessment System (SAS) to fourth through eighth graders and the full…
Descriptors: COVID-19, Pandemics, Educational Change, Distance Education
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Cardona, Tatiana; Cudney, Elizabeth A.; Hoerl, Roger; Snyder, Jennifer – Journal of College Student Retention: Research, Theory & Practice, 2023
This study presents a systematic review of the literature on the predicting student retention in higher education through machine learning algorithms based on measures such as dropout risk, attrition risk, and completion risk. A systematic review methodology was employed comprised of review protocol, requirements for study selection, and analysis…
Descriptors: Learning Analytics, Data Analysis, Prediction, Higher Education
Michael Gilraine; Jeffrey Penney – Annenberg Institute for School Reform at Brown University, 2021
An administrative rule allowed students who failed an exam to retake it shortly after, triggering strong `teach to the test' incentives to raise these students' test scores for the retake. We develop a model that accounts for truncation and find that these students score 0.14 standard deviations higher on the retest. Using a regression…
Descriptors: Tests, Models, Scores, Test Coaching
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Zane, Len – Honors in Practice, 2020
Many of the numbers used to assess students are statistical in nature. The theoretical context underlying the production of a typical number or statistic used in student assessment is presented. The author urges readers to recognize objective data as subjective information and to carefully consider the numbers that often determine admission,…
Descriptors: Student Evaluation, Statistical Analysis, Honors Curriculum, Admission Criteria
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Carpenter, Thomas P.; Kirk, Roger E. – Educational Studies, 2017
Statistics is an important subject in psychology and social science education. However, inadequate mathematical skills can pose a barrier to learning statistics. Some educators have suggested that students' math skills are declining. The present research examined trends in the math skills of psychology undergraduates across 21 years. Students…
Descriptors: Undergraduate Students, Psychology, Majors (Students), Mathematics Skills
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Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2013
The 2012 edition of the "Digest of Education Statistics" is the 48th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: School Statistics, Definitions, Tables (Data), Longitudinal Studies
Data Quality Campaign, 2014
High school feedback reports let school and district leaders know where their students go after graduation and how well they are prepared for college and beyond. This roadmap discusses the seven key focus areas the Data Quality Campaign (DQC) recommends states work on to ensure quality implementation of high school feedback reports.
Descriptors: High School Graduates, Postsecondary Education, Outcomes of Education, Feedback (Response)
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Snyder, Thomas D.; Dillow, Sally A. – National Center for Education Statistics, 2012
The 2011 edition of the "Digest of Education Statistics" is the 47th in a series of publications initiated in 1962. The "Digest" has been issued annually except for combined editions for the years 1977-78, 1983-84, and 1985-86. Its primary purpose is to provide a compilation of statistical information covering the broad field…
Descriptors: Educational Research, Data Collection, Data Analysis, Error Patterns
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Mullen, Ann L.; Baker, Jayne – NASPA Journal About Women in Higher Education, 2015
While women now earn more bachelor's degrees than men in many parts of the world, large gender gaps persist in fields of study, and women remain underrepresented in the most prestigious institutions. This study updates and extends the literature on gender disparities in higher education by comparing the selectivity of the institutions where men…
Descriptors: Institutional Characteristics, Gender Differences, Gender Issues, Womens Education
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Nelson, Suzy; McHugh Engstrom, Cathy – Journal of Student Affairs Research and Practice, 2013
The present study builds on previous findings and analyzes how social climate (Moos, 1988), chapter advisement, and living status differ for members of high- and low-achieving fraternities (as measured by cumulative chapter GPA) and how the interplay of personal and environmental factors influence binge drinking and GPA among college men in…
Descriptors: Fraternities, Social Influences, Alcohol Abuse, Drinking
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Zhang, Jinming – Applied Psychological Measurement, 2012
It is common to assume during a statistical analysis of a multiscale assessment that the assessment is composed of several unidimensional subtests or that it has simple structure. Under this assumption, the unidimensional and multidimensional approaches can be used to estimate item parameters. These two approaches are equivalent in parameter…
Descriptors: Simulation, Computation, Models, Statistical Analysis
Wolanin, Natalie; Cooper-Martin, Elizabeth – Montgomery County Public Schools, 2016
The ACES program is a collaboration between MCPS, Montgomery College (MC), and the Universities at Shady Grove (USG) to create a seamless pathway from high school to college completion. ACES focuses on identifying and supporting students who are underrepresented in higher education, the first in their family to attend college, or both. In…
Descriptors: Public Schools, Comprehensive Programs, College School Cooperation, College Preparation
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Zhang, Jinming – Journal of Educational and Behavioral Statistics, 2012
The impact of uncertainty about item parameters on test information functions is investigated. The information function of a test is one of the most important tools in item response theory (IRT). Inaccuracy in the estimation of test information can have substantial consequences on data analyses based on IRT. In this article, the major part (called…
Descriptors: Item Response Theory, Tests, Accuracy, Data Analysis
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