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Weeks, Jonathan; Baron, Patricia – Educational Testing Service, 2021
The current project, Exploring Math Education Relations by Analyzing Large Data Sets (EMERALDS) II, is an attempt to identify specific Common Core State Standards procedural, conceptual, and problem-solving competencies in earlier grades that best predict success in algebraic areas in later grades. The data for this study include two cohorts of…
Descriptors: Mathematics Education, Common Core State Standards, Problem Solving, Mathematics Tests
William Delgado – Annenberg Institute for School Reform at Brown University, 2023
Does student-teacher match quality exist? Prior work has documented large disparities in teachers' impacts across student types but has not distinguished between sorting and causal effects as the drivers of these disparities. I propose a disparate value-added model and derive a novel measure of teacher quality--revealed comparative advantage--that…
Descriptors: Teacher Student Relationship, Value Added Models, Teacher Effectiveness, Attribution Theory
Westrick, Paul A.; Young, Linda; Shaw, Emily J.; Shmueli, Doron – College Board, 2020
The current study examines how the integration of SAT scores with context information about students' neighborhood and high school from the College Board's Landscape™ resource can provide institutions with a nuanced perspective on students' expected performance and retention. This allows institutions to identify incoming students that may benefit…
Descriptors: Academic Advising, Scores, School Holding Power, Academic Persistence
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Haas, Eric; Tran, Loan; Huang, Min – Regional Educational Laboratory West, 2016
When is the right moment to transition an English learner student from part-time participation in English language development classes into full-time participation in mainstream English-only classes? English learner students should be moved into full-time mainstream English-only classes when they are sufficiently fluent in English to be able to…
Descriptors: English Language Learners, Language Proficiency, Scores, Correlation
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Davidovitch, Nitza; Soen, Dan – Journal of International Education Research, 2015
This study, conducted at a tertiary education institution in Israel, following two previous studies, was designed to deal again with a question that is a topic of debate in Israel and worldwide: Is there justification for the approach that considers restrictive university admission policies an efficient tool for predicting students' success at the…
Descriptors: Prediction, College Admission, Admission Criteria, Foreign Countries
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Aguinis, Herman; Culpepper, Steven A.; Pierce, Charles A. – Journal of Educational Psychology, 2016
We introduce the concept of "differential prediction generalization" in the context of college admissions testing. Specifically, we assess the extent to which predicted first-year college grade point average (GPA) based on high-school grade point average (HSGPA) and SAT scores depends on a student's ethnicity and gender and whether this…
Descriptors: Prediction, Grade Point Average, High School Students, College Freshmen
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Klieger, David M.; Cline, Frederick A.; Holtzman, Steven L.; Minsky, Jennifer L.; Lorenz, Florian – ETS Research Report Series, 2014
Given the serious consequences of making ill-fated admissions and funding decisions for applicants to graduate and professional school, it is important to rely on sound evidence to optimize such judgments. Previous meta-analytic research has demonstrated the generalizable validity of the "GRE"® General Test for predicting academic…
Descriptors: College Entrance Examinations, Graduate Study, Prediction, Predictive Validity
Mattern, Krista D.; Wyatt, Jeffrey N. – College Board, 2012
A recurrent trend in higher education research has been to identify additional predictors of college success beyond the traditional measures of high school grade point average (HSGPA) and standardized test scores, given that a large percentage of unaccounted variance in college performance remains. A recent study by Wyatt, Wiley, Camara, and…
Descriptors: College Readiness, Grade Point Average, College Entrance Examinations, Scores
Radunzel, Justine; Noble, Julie – ACT, Inc., 2013
In this study, we evaluated the differential effects on racial/ethnic, family income, and gender groups of using ACT® College Readiness Assessment Composite score and high school grade point average (HSGPA) for predicting long-term college success. Outcomes included annual progress towards a degree (based on cumulative credit-bearing hours…
Descriptors: College Readiness, Educational Assessment, Demography, Scores
Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
In this technical report, we document the results of a cross-validation study designed to identify optimal cut-scores for the use of the easyCBM[R] mathematics test in the state of Washington. A large sample, randomly split into two groups of roughly equal size, was used for this study. Students' performance classification on the Washington state…
Descriptors: Testing Programs, Mathematics Tests, Prediction, Measurement Techniques
Park, Bitnara Jasmine; Anderson, Daniel; Irvin, P. Shawn; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
Within a response to intervention (RTI) framework, students are typically identified as "academically at-risk" if they score below a specified cut-point on a benchmark screener. Students identified as at-risk are provided with an intervention intended to increase achievement. In the following technical report, we describe a process for…
Descriptors: Intervention, Diagnostic Tests, Response to Intervention, At Risk Students
Irvin, P. Shawn; Park, Bitnara Jasmine; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
This technical report presents results from a cross-validation study designed to identify optimal cut scores when using easyCBM[R] reading tests in Washington state. The cross-validation study analyzes data from the 2009-2010 academic year for easyCBM[R] reading measures. A sample of approximately 900 students per grade, randomly split into two…
Descriptors: Intervention, Diagnostic Tests, Response to Intervention, At Risk Students
Menefee, Trey; Bray, Mark – Online Submission, 2012
This report was produced for the 2012 Conference of Commonwealth Education Ministers meeting in Mauritius. Its main purpose is to track the historical progress and likelihood of attainment of Education For All and education-specific Millennium Development Goals while also critically reviewing the methods used to track this progress. The analyses…
Descriptors: Foreign Countries, Access to Education, Educational Objectives, Educational Development
Park, Bitnara Jasmine; Irvin, P. Shawn; Anderson, Daniel; Alonzo, Julie; Tindal, Gerald – Behavioral Research and Teaching, 2011
This technical report presents results from a cross-validation study designed to identify optimal cut scores when using easyCBM[R] reading tests in Oregon. The cross-validation study analyzes data from the 2009-2010 academic year for easyCBM[R] reading measures. A sample of approximately 2,000 students per grade, randomly split into two groups of…
Descriptors: Testing Programs, Reading Tests, Prediction, Measurement Techniques
Young, John W. – 1994
In this study, two statistical approaches for adjusting grades were tested on data obtained from four law schools, with samples of 157, 188, 206, and 191. These approaches were previously validated using data on undergraduates but have not been used in a study of postgraduate performance. Neither method yielded consistent improvements in the…
Descriptors: Admission (School), College Entrance Examinations, Grades (Scholastic), Higher Education
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