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Zhang, Xiuyuan; Patel, Priyank; Ewing, Maureen – College Board, 2014
AP Potential™ is an educational guidance tool that uses PSAT/NMSQT® scores to identify students who have the potential to do well on one or more Advanced Placement® (AP®) Exams. Students identified as having AP potential, perhaps students who would not have been otherwise identified, should consider enrolling in the corresponding AP course if they…
Descriptors: High School Students, College Entrance Examinations, Standardized Tests, Scores
Brown, Chanda Denea – Online Submission, 2015
This study explored whether a predictive model of student loan default could be developed with data from an institution's three-year cohort default rate report. The study used borrower data provided by a large two-year community college. Independent variables under investigation included total undergraduate Stafford student loan debt, total number…
Descriptors: Models, Loan Default, Community Colleges, Undergraduate Students
Truckenmiller, Adrea J.; Petscher, Yaacov; Gaughan, Linda; Dwyer, Ted – Regional Educational Laboratory Southeast, 2016
District and state education leaders frequently use screening assessments to identify students who are at risk of performing poorly on end-of-year achievement tests. This study examines the use of a universal screening assessment of reading skills for early identification of students at risk of low achievement on nationally normed tests of reading…
Descriptors: Prediction, Predictive Validity, Predictor Variables, Mathematics Achievement
Foy, Pierre, Ed.; Arora, Alka, Ed.; Stanco, Gabrielle M., Ed. – International Association for the Evaluation of Educational Achievement, 2013
This supplement contains documentation on the explicit and implicit stratification variables included in the TIMSS 2011 data files. The explicit strata are smaller sampling frames, created from the national sampling frames, from which national samples of schools were drawn. The implicit strata are nested within the explicit strata, and were used…
Descriptors: Predictor Variables, Sampling, Comparative Education, International Education
Torres, D. Diego – Houston Independent School District, 2018
Achieve3000®, a web-based differentiated reading program based on the Lexile® Framework and designed to improve student reading ability and comprehension of increasingly complex texts, was made available to approximately 100,000 secondary students across 98 HISD schools during the 2017-2018 academic year. The present evaluation, using a select…
Descriptors: Reading Achievement, Reading Programs, Reading Instruction, Middle School Students
Analysis of IDEA Student Ratings of Instruction System 2015 Pilot Data. IDEA Technical Report No. 19
Li, Dan; Benton, Stephen L.; Brown, Ron; Sullivan, Patricia; Ryalls, Kenneth R. – IDEA Center, Inc., 2016
This report describes statistical analyses performed on data collected in the Spring of 2015 from the pilot study of proposed revised and new items in the IDEA Student Ratings of Instruction (SRI) system. Described are the methods employed, results obtained, and decisions made in selecting items for the updated instruments. The procedures occurred…
Descriptors: Statistical Analysis, Rating Scales, Student Evaluation of Teacher Performance, Course Evaluation
Regional Educational Laboratory Mid-Atlantic, 2020
The document are the appendixes for the full report, "Using Data from Schools and Child Welfare Agencies to Predict Near-Term Academic Risks." The study team collected and linked five academic years of student-level administrative data from Pittsburgh Public Schools (PPS), Propel Schools, and the Allegheny County Department of Human…
Descriptors: Elementary Secondary Education, Public Schools, Charter Schools, At Risk Students
Lamb, Lindsay M. – Online Submission, 2015
This report describes campus effects of AISD's Social and Emotional Learning (SEL) program from the year prior to SEL implementation (i.e., 2010-2011 when available) through 2014-2015. Analyses also examine which SEL outcome measures were related to SEL implementation ratings. Separate executive summary report and supplemental report were…
Descriptors: Social Emotional Learning, Program Implementation, Program Effectiveness, Academic Achievement
Foy, Pierre, Ed.; Drucker, Kathleen T., Ed. – International Association for the Evaluation of Educational Achievement, 2013
This supplement contains documentation on the explicit and implicit stratification variables included in the PIRLS 2011 data files. The explicit strata are smaller sampling frames, created from the national sampling frames, from which national samples of schools were drawn. The implicit strata are nested within the explicit strata, and were used…
Descriptors: Guides, Information Sources, Geographic Distribution, Databases
Rodriguez, Awilda; McKillip, Mary E. M.; Niu, Sunny X. – College Board, 2013
In this report, the authors examine the impact of scoring a 1 or 2 on an AP® Exam in 10th grade on later AP Exam participation and performance. As access to AP courses increases within and across schools, a growing number of students are taking AP courses and exams in the earlier grades of high school. Using a matched sample of AP and no-AP…
Descriptors: Advanced Placement, College Entrance Examinations, High School Students, Grade 10
Mattern, Krista; Radunzel, Justine – ACT, Inc., 2015
Many students who earn a bachelor's degree also aspire to earn a graduate degree. In this study, we examined student and institutional characteristics that are related to graduate school enrollment. Student characteristics included demographic characteristics; high school performance measures, coursework taken, and extracurricular activities;…
Descriptors: Graduate Students, Enrollment Rate, Student Characteristics, Institutional Characteristics
Dunn, Michael; Kalleberg, Arne L. – Center for Analysis of Postsecondary Education and Employment, 2016
The evolution of community colleges from their origins as junior colleges to institutions with dual missions to provide both academic and workforce preparation raises questions about the impact of a college's mission focus on its students' labor market success. We examine this question using data from the 58 colleges in the North Carolina…
Descriptors: Community Colleges, Institutional Mission, Labor Force Development, Labor Market
Beard, Jonathan; Marini, Jessica P. – College Board, 2015
The continued accumulation of validity evidence for the intended uses of educational assessment scores is critical to ensure that inferences made using the scores are sound. To that end, the College Board has continued to collect college outcome data to evaluate the relationship between SAT® scores and college success. This report provides updated…
Descriptors: Statistical Data, Predictive Validity, Educational Assessment, Evidence
National Centre for Vocational Education Research (NCVER), 2012
This technical report describes the 24 derived variables developed for users of the Longitudinal Surveys of Australian Youth (LSAY) data. The variables fall into the categories education, employment and social, and help to simplify the complexity of the LSAY data by providing useful indicators for analysis. To help LSAY data users understand and…
Descriptors: Educational Attainment, Foreign Countries, Enrollment, Predictor Variables
Sammons, Pam; Toth, Katalin; Sylva, Kathy – Sutton Trust, 2015
This report looks at children's education careers by drawing on data from a sample of more than 3,000 young people who have been tracked through school since the age of three. In particular, this research identified a group of disadvantaged children, establishing what predicted their academic success at the age of 11 and following them up to age…
Descriptors: High Achievement, Disadvantaged Youth, Predictor Variables, Success