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Remiro-Azócar, Antonio; Heath, Anna; Baio, Gianluca – Research Synthesis Methods, 2022
Population adjustment methods such as matching-adjusted indirect comparison (MAIC) are increasingly used to compare marginal treatment effects when there are cross-trial differences in effect modifiers and limited patient-level data. MAIC is based on propensity score weighting, which is sensitive to poor covariate overlap and cannot extrapolate…
Descriptors: Patients, Medical Research, Comparative Analysis, Outcomes of Treatment
Ling, Jizhi; Radunzel, Justine – ACT, Inc., 2017
A majority of high school graduates aspire to earn a college degree (ACT, 2016), yet many students are graduating from high school unprepared to do college-level work. As a result, about one-third of college freshmen enroll in at least one developmental course upon entry to college (Skomsvold, 2014). Because developmental courses are often not…
Descriptors: High School Graduates, College Readiness, Probability, Student Characteristics
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Kern, Holger L.; Stuart, Elizabeth A.; Hill, Jennifer; Green, Donald P. – Journal of Research on Educational Effectiveness, 2016
Randomized experiments are considered the gold standard for causal inference because they can provide unbiased estimates of treatment effects for the experimental participants. However, researchers and policymakers are often interested in using a specific experiment to inform decisions about other target populations. In education research,…
Descriptors: Educational Research, Generalization, Sampling, Participant Characteristics
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Henderson, Morag; Cheung, Sin Yi; Sharland, Elaine; Scourfield, Jonathan – British Educational Research Journal, 2016
The key purpose of educational welfare officers in England is to support students and parents to maximise educational opportunities for young people. However more is known about their role in relation to school attendance than in relation to pupils' educational outcomes. Using the Longitudinal Survey of Young People in England (LSYPE), this paper…
Descriptors: Foreign Countries, Welfare Services, Welfare Recipients, Student Behavior
Mattern, Krista; Radunzel, Justine; Westrick, Paul – ACT, Inc., 2015
Although about 40% of high school graduates who take the ACT® test express interest in pursuing a career in a science, technology, engineering, and mathematics (STEM) field, the percentage of first-year students in college who declare a STEM major is substantially lower. The pool of prospective STEM workers shrinks further as the majority of STEM…
Descriptors: STEM Education, Benchmarking, Majors (Students), College Freshmen
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Maruyama, Geoffrey – Educational Researcher, 2012
This article examines the logic underlying different models for assessing the college readiness of high school students. It focuses on benchmark scores that purportedly identify students who are college ready and presents the challenges of using threshold scores from a single assessment instrument to represent readiness. As well as providing…
Descriptors: College Readiness, Probability, Academic Achievement, Measures (Individuals)
Kobrin, Jennifer L. – College Board, 2007
The purpose of this research study was to determine benchmark scores on the SAT that predict a 65 percent probability or higher of getting a first-year college grade point average of either 2.7 or higher or 2.0 or higher, to use these benchmarks to describe the level of college readiness in the nation and in certain demographic subgroups, and to…
Descriptors: College Entrance Examinations, College Readiness, Benchmarking, Scores