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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
Ewing, Maureen; Wyatt, Jeff – College Board, 2017
Historically, AP Potential™ has used PSAT/NMSQT® scores to identify students who are likely to earn a 3 or higher on a specific AP Exam based on research showing moderate to strong relationships between PSAT/NMSQT scores and AP Exam scores (Camara & Millsap, 1998; Ewing, Camara, & Millsap, 2006; Zhang, Patel, & Ewing, 2014a). For most…
Descriptors: Advanced Placement Programs, Aptitude Tests, High Schools, College Entrance Examinations
Zhang, Xiuyuan; Patel, Priyank; Ewing, Maureen – College Board, 2015
Historically, AP Potential™ correlations and expectancy tables have been based on 10th-and 11th-grade PSAT/NMSQT® examinees and 11th-and 12th-grade AP® examinees for all subjects (Zhang, Patel, & Ewing,2014; Ewing, Camara, & Millsap, 2006; Camara & Millsap, 1998). However, a large number of students take AP European History and AP…
Descriptors: Grade 4, Scores, Prediction, European History
Hutchins, Shaun D.; DeBaylo, Paige Hartman; Williams, Holly – Online Submission, 2018
This report presents a question-driven exploration of growth and achievement data using SAS EVAAS reports. The purpose of this exploration was to bring additional data, information, and ways of thinking about student growth to ongoing district conversations about the measurement of campus-level student growth.
Descriptors: School Districts, Achievement Gains, Achievement Tests, High Schools
Kim, YoungKoung; Hendrickson, Amy; Patel, Priyank; Melican, Gerald; Sweeney, Kevin – College Board, 2013
The purpose of this report is to describe the procedure for revising the ReadiStep™ score scale using the field trial data, and to provide technical information about the development of the new ReadiStep scale score. In doing so, this report briefly introduces the three assessments--ReadiStep, PSAT/NMSQT®, and SAT®--in the College Board Pathway…
Descriptors: College Entrance Examinations, Educational Assessment, High School Students, Scores
Proctor, Thomas P.; Kim, YoungKoung Rachel – College Board, 2010
The purpose of this paper is to provide information about how students' scores change when they retake the PSAT/NMSQT as juniors or take the SAT in the spring after they take the PSAT/NMSQT as juniors. Two research questions guided this study and motivated the approach for analysis of the data: How do scores change for students who took the…
Descriptors: Scores, Achievement Gains, Bayesian Statistics, College Entrance Examinations
Pfeiffer, Jay; Klein, Steven; Levesque, Karen – Online Submission, 2009
The American Recovery and Reinvestment Act (ARRA) provides several funding opportunities that can assist states in designing, developing, and implementing statewide education longitudinal data systems. These new and enhanced information systems will enable states to track student progress within and across the secondary and postsecondary education…
Descriptors: Information Systems, Education Work Relationship, Secondary Education, Postsecondary Education
Camara, Wayne J. – College Entrance Examination Board, 1997
There is a strong and consistent relationship between PSAT/NMSQT scores and AP Examination grades for nearly all courses--higher scores on the PSAT/NMSQT indicate a higher probability of success on AP Examinations. PSAT/NMSQT verbal or mathematics scores are often more highly related to AP Examination grades than overall high school GPA, number of…
Descriptors: College Entrance Examinations, Scores, Advanced Placement Programs, Correlation