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D'Wayne Bell; John B. Holbein; Samuel Imlay; Jonathan Smith – Annenberg Institute for School Reform at Brown University, 2024
We study how colleges shape their students' voting habits by linking millions of SAT takers to their college-enrollment and voting histories. To begin, we show that the fraction of students from a particular college who vote varies systematically by the college's attributes (e.g. increasing with selectivity) but also that seemingly similar…
Descriptors: Voting, Citizen Participation, Institutional Characteristics, College Applicants
Sinharay, Sandip – Educational and Psychological Measurement, 2022
Administrative problems such as computer malfunction and power outage occasionally lead to missing item scores and hence to incomplete data on mastery tests such as the AP and U.S. Medical Licensing examinations. Investigators are often interested in estimating the probabilities of passing of the examinees with incomplete data on mastery tests.…
Descriptors: Mastery Tests, Computer Assisted Testing, Probability, Test Wiseness
Klopfenstein, Kristin; Lively, Kit – Education Finance and Policy, 2016
When calculating class rank, high schools often give additional weight to grades earned in College Board Advanced Placement (AP) courses as an incentive for students to take hard courses. This paper examines changes in student course-taking behavior after an increase in AP grade weights at Texas high schools. We find that raising the magnitude of…
Descriptors: High School Students, Class Rank, Advanced Placement, Grades (Scholastic)
Phelan, Julia; Egger, Jeffrey; Kim, Junok; Choi, Kilchan; Keum, Eunhee; Chung, Gregory K. W. K.; Baker, Eva L. – National Center for Research on Evaluation, Standards, and Student Testing (CRESST), 2021
The National Math + Science Initiative (NMSI) is a nonprofit organization committed to improving educational outcomes that traces its roots back to the early 1990s. NMSI's College Readiness Program (CRP) is a long-standing program with the goal of promoting STEM education in high schools to improve students' preparation for college. The three-year…
Descriptors: College Readiness, Nonprofit Organizations, Program Evaluation, STEM Education
Huang, Francis L.; Moon, Tonya R. – Gifted Child Quarterly, 2013
The purpose of this Methodological Brief is to present a brief primer on logistic regression, a commonly used technique when modeling dichotomous outcomes. Using data from the National Education Longitudinal Study of 1988 (NELS:88), logistic regression techniques were used to investigate student-level variables in eighth grade (i.e., enrolled in a…
Descriptors: Advanced Placement, Regression (Statistics), Grade 8, Grade 10
Iatarola, Patrice; Gao, Niu – National Center on Scaling Up Effective Schools, 2015
In 2009, Florida adopted the Differentiated Accountability (DA) plan, making it among the first to specifically incorporate into its existing school grading scheme college readiness targets. In this paper we use a rich panel of data on high school students in Broward County (Ft. Lauderdale) Public Schools to present early evidence of the impact of…
Descriptors: High Schools, Accountability, Public Schools, Evidence
Case, Catherine; Whitaker, Douglas – Mathematics Teacher, 2016
In the criminal justice system, defendants accused of a crime are presumed innocent until proven guilty. Statistical inference in any context is built on an analogous principle: The null hypothesis--often a hypothesis of "no difference" or "no effect"--is presumed true unless there is sufficient evidence against it. In this…
Descriptors: Mathematics Instruction, Technology Uses in Education, Educational Technology, Statistical Inference
Rosasco, Margaret E. – ProQuest LLC, 2013
Students are entering college having earned credit for college Calculus 1 based on their scores on the College Board's Advanced Placement (AP) Calculus AB exam. Despite being granted credit for college Calculus 1, it is unclear whether these students are adequately prepared for college Calculus 2. College calculus classes are often taught from a…
Descriptors: College Mathematics, Calculus, Mathematics Achievement, Advanced Placement
Patterson, Brian F.; Ewing, Maureen – College Board, 2013
The Advanced Placement Program® (AP®) was created to provide access to rigorous, college-level curricula to motivated and prepared high school students. This study evaluated whether the AP Exam scores from the summative exams associated with 10 courses were valid for the placement of students into higher-level college courses in the subject area…
Descriptors: Advanced Placement, Scores, Student Placement, High School Students
Patterson, Brian F. – College Board, 2012
The main goal of this study was to illustrate and provide some direction for dealing with the complexities of propensity score matching within different multilevel contexts. Special attention is given to how procedures typically applied in a non-hierarchical setting may be modified to properly reduce the expected bias in the estimated treatment…
Descriptors: Probability, Scores, Statistical Bias, High School Students
Tabor, Josh – Journal of Statistics Education, 2010
On the 2009 AP[c] Statistics Exam, students were asked to create a statistic to measure skewness in a distribution. This paper explores several of the most popular student responses and evaluates which statistic performs best when sampling from various skewed populations. (Contains 8 figures, 3 tables, and 4 footnotes.)
Descriptors: Advanced Placement, Statistics, Tests, High School Students
Burris, Carol Corbett; Heubert, Jay P.; Levin, Henry M. – American Educational Research Journal, 2006
This longitudinal study examined the effects of providing an accelerated mathematics curriculum in heterogeneously grouped middle school classes in a diverse suburban school district. A quasi-experimental cohort design was used to evaluate subsequent completion of advanced high school math courses as well as academic achievement. Results showed…
Descriptors: Acceleration (Education), Heterogeneous Grouping, High Achievement, Suburban Schools