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No Child Left Behind Act 20016
Showing 1 to 15 of 198 results Save | Export
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Kaitlyn G. Fitzgerald; Elizabeth Tipton – Journal of Educational and Behavioral Statistics, 2025
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
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Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2024
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
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Clintin P. Davis-Stober; Jason Dana; David Kellen; Sara D. McMullin; Wes Bonifay – Grantee Submission, 2023
Conducting research with human subjects can be difficult because of limited sample sizes and small empirical effects. We demonstrate that this problem can yield patterns of results that are practically indistinguishable from flipping a coin to determine the direction of treatment effects. We use this idea of random conclusions to establish a…
Descriptors: Research Methodology, Sample Size, Effect Size, Hypothesis Testing
Kenneth A. Frank; Qinyun Lin; Ran Xu; Spiro Maroulis; Anna Mueller – Grantee Submission, 2023
Social scientists seeking to inform policy or public action must carefully consider how to identify effects and express inferences because actions based on invalid inferences will not yield the intended results. Recognizing the complexities and uncertainties of social science, we seek to inform inevitable debates about causal inferences by…
Descriptors: Social Sciences, Research Methodology, Statistical Inference, Robustness (Statistics)
Dan Soriano; Eli Ben-Michael; Peter Bickel; Avi Feller; Samuel D. Pimentel – Grantee Submission, 2023
Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measured. In this paper, we develop a sensitivity analysis framework for balancing weights estimators, an increasingly popular approach that solves an optimization problem to…
Descriptors: Statistical Analysis, Computation, Mathematical Formulas, Monte Carlo Methods
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Sandra Jo Wilson; Brian Freeman; E. C. Hedberg – Grantee Submission, 2024
As reporting of effect sizes in evaluation studies has proliferated, researchers and consumers of research need tools for interpreting or benchmarking the magnitude of those effect sizes that are relevant to the intervention, target population, and outcome measure being considered. Similarly, researchers planning education studies with social and…
Descriptors: Benchmarking, Effect Size, Meta Analysis, Statistical Analysis
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Alan J. Marsh; Lynne Fernie – Scottish Educational Review, 2025
There was a fundamental reform of special educational needs policy in Scotland with the ratification of the 2004 Education (Additional Support for Learning) (ASL) (Scotland) Act. This paper explores official statistics from 2008-2023 by examining variations in additional support needs (ASN) and funding across the 32 Local Authorities (LAs). The…
Descriptors: Foreign Countries, Special Education, Educational Change, Special Needs Students
Klasik, Daniel; Hutt, Ethan – Stanford Center for Education Policy Analysis, 2018
Recent trends in higher education have increased interest in improving accountability in U.S. higher education beyond current accreditation practices. Many proposed solutions include using quantitative-performance measures like graduation and default rates to assess performance, but questions remain about how such a system could fit-in with…
Descriptors: Colleges, School Effectiveness, Accreditation (Institutions), Identification
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Wright, Daniel B. – International Journal of Research & Method in Education, 2017
Many education policies require estimating whether students in different grades are on track for achieving certain educational standards. One approach for constructing these cut scores is to estimate the values on tests that predict reaching targets on subsequent tests. Whether a student is deemed on target can affect the student's course…
Descriptors: Cutting Scores, Regression (Statistics), Elementary Secondary Education, Evaluation Methods
Robert Garlick; Joshua Hyman – Annenberg Institute for School Reform at Brown University, 2018
We use a natural experiment to evaluate sample selection correction methods' performance. In 2007, Michigan began requiring that all students take a college entrance exam, increasing the exam-taking rate from 64 to 99%. We apply different selection correction methods, using different sets of predictors, to the pre-policy exam score data. We then…
Descriptors: Quasiexperimental Design, Predictor Variables, College Entrance Examinations, Scores
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Rickles, Jordan; Zeiser, Kristina – Society for Research on Educational Effectiveness, 2017
This paper describes and demonstrates a new online resource developed to help researchers proactively plan for student attrition: the Student Attrition Lookup Tool (SALT). With SALT, researchers can access student mobility estimates for different student and school subpopulations and for different transition periods from kindergarten to grade 12.…
Descriptors: Student Attrition, Attrition (Research Studies), Elementary Secondary Education, Educational Research
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Andrews, Martin; Brown, Rachael; Mesher, Lynne – Practitioner Research in Higher Education, 2018
Within the Higher Education sector in the UK, it is acknowledged that the area of 'Assessment and Feedback' receives consistently poor levels of satisfaction from students when they complete module level feedback, course level feedback and the National Student Survey (NSS). There is evidence to suggest that this problem is pronounced within…
Descriptors: Feedback (Response), Student Evaluation, Learner Engagement, Case Studies
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Peterson, Stacey A. – Journal of Student Financial Aid, 2017
Financial aid administrators administer various aspects of financial assistance programs; oversee, direct, coordinate, evaluate, and provide training for program activities and the personnel who manage office operations and supervise support staff; and ensure alignment of student and institutional needs while protecting the public interest. They…
Descriptors: Student Financial Aid, Student Financial Aid Officers, Certification, Professionalism
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Gillborn, David; Demack, Sean; Rollock, Nicola; Warmington, Paul – British Educational Research Journal, 2017
Drawing on a secondary analysis of official statistics, this paper examines the changing scale of the inequality of achievement between White students and their Black British peers who identify their family heritage as Black Caribbean. We examine a 25-year period from the introduction of the General Certificate of Secondary Education (GCSE), in…
Descriptors: Foreign Countries, Achievement Gap, White Students, Blacks
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Runge, Timothy J.; Bennyhoff, Caitlin F.; Ferchalk, Matthew R.; McCrea, Andrew E. – School Psychology Forum, 2017
Assessing a student's level and rate of improvement on an academic skill is a contemporary approach to the identification of specific learning disabilities. This approach, broadly categorized as responsiveness to intervention, however, does not obviate educators from scrutinizing the psychometric qualities of the data used to make important…
Descriptors: Intervals, Measurement, Identification, Learning Disabilities
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