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Download full textMichael 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
Peer reviewed
Direct linkZhang, Jinming – Applied Psychological Measurement, 2012
It is common to assume during a statistical analysis of a multiscale assessment that the assessment is composed of several unidimensional subtests or that it has simple structure. Under this assumption, the unidimensional and multidimensional approaches can be used to estimate item parameters. These two approaches are equivalent in parameter…
Descriptors: Simulation, Computation, Models, Statistical Analysis
Goltz, Heather Honore; Smith, Matthew Lee – Practical Assessment, Research & Evaluation, 2010
Yule (1903) and Simpson (1951) described a statistical paradox that occurs when data is aggregated. In such situations, aggregated data may reveal a trend that directly contrasts those of sub-groups trends. In fact, the aggregate data trends may even be opposite in direction of sub-group trends. To reveal Yule-Simpson's paradox (YSP)-type…
Descriptors: Data, Statistics, Statistical Analysis, Models
Richardson, Michelle; Abraham, Charles; Bond, Rod – Psychological Bulletin, 2012
A review of 13 years of research into antecedents of university students' grade point average (GPA) scores generated the following: a comprehensive, conceptual map of known correlates of tertiary GPA; assessment of the magnitude of average, weighted correlations with GPA; and tests of multivariate models of GPA correlates within and across…
Descriptors: Personality Traits, Grade Point Average, Self Efficacy, Academic Achievement
Chimka, Justin R.; Wang, Qilu – Educational Research and Reviews, 2009
This third article in a series describing survival analysis of engineering student retention and graduation introduces accelerated failure-time as an alternative to the Cox proportional hazards model to the context of student data. The new survival analysis of graduation data presented here assumes different distributions including exponential,…
Descriptors: College Students, Graduation, Goodness of Fit, School Holding Power
Bridgeman, Brent; Burton, Nancy; Cline, Frederick – College Entrance Examination Board, 2001
Using data from a sample of 10 colleges at which most students had taken both SAT I: Reasoning Test and SAT II: Subject Tests, the authors simulated the effects of making selection decisions using SAT II scores in place of SAT I scores. Specifically, they treated the students in each college as forming the applicant pool for a more select college,…
Descriptors: College Entrance Examinations, Grade Point Average, Racial Composition, Models
