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No Child Left Behind Act 20011
Showing 1 to 15 of 126 results Save | Export
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Ryan J. Martin; Suzannah Iadarola; Rose Iovannone; Brenna Cavanaugh; Krystal Fontechia; Lynne Levato; Cynthia M. Anderson – Journal of Developmental and Physical Disabilities, 2024
Implementation of evidence-based practices for autistic students must be informed by robust research literature. Randomized-controlled trials (RCTs) are often considered a "gold standard" methodology for determining the effectiveness of interventions. However, the complex nature of schools presents challenges for implementing successful…
Descriptors: Autism Spectrum Disorders, Students with Disabilities, Intervention, Randomized Controlled Trials
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Foster, Colin – International Journal of Research & Method in Education, 2023
This paper introduces a simple, quotient effect size, termed (for 'quotient'), suitable for reporting on the effectiveness of educational interventions. The quotient effect size for a pre-test-post-test design is defined as the gain score (i.e. post-test minus pre-test) for the intervention group, divided by the gain score for the control group.…
Descriptors: Effect Size, Intervention, Bias, Randomized Controlled Trials
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Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
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Miriam Hattle; Joie Ensor; Katie Scandrett; Marienke van Middelkoop; Danielle A. van der Windt; Melanie A. Holden; Richard D. Riley – Research Synthesis Methods, 2024
Individual participant data (IPD) meta-analysis projects obtain, harmonise, and synthesise original data from multiple studies. Many IPD meta-analyses of randomised trials are initiated to identify treatment effect modifiers at the individual level, thus requiring statistical modelling of interactions between treatment effect and participant-level…
Descriptors: Meta Analysis, Randomized Controlled Trials, Outcomes of Treatment, Evaluation Methods
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Peter Schochet – Society for Research on Educational Effectiveness, 2024
Random encouragement designs are randomized controlled trials (RCTs) that test interventions aimed at increasing participation in a program or activity whose take up is not universal. In these RCTs, instead of randomizing individuals or clusters directly into treatment and control groups to participate in a program or activity, the randomization…
Descriptors: Statistical Analysis, Computation, Causal Models, Research Design
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Evrenoglou, Theodoros; Boutron, Isabelle; Seitidis, Georgios; Ghosn, Lina; Chaimani, Anna – Research Synthesis Methods, 2023
Outputs from living evidence syntheses projects have been used widely during the pandemic by guideline developers to form evidence-based recommendations. However, the needs of different stakeholders cannot be accommodated by solely providing pre-defined non amendable numerical summaries. Stakeholders also need to understand the data and perform…
Descriptors: COVID-19, Pandemics, Meta Analysis, Computer Oriented Programs
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Zhang, Lin; Kirschner, Paul A.; Cobern, William W.; Sweller, John – Educational Psychology Review, 2022
There is a considerable gap between many of the findings from educational psychology research and educational practice. This gap is especially notable in the field of science education. In this article, the implications of three categories of research and their findings for science educational policy in the USA and other jurisdictions were…
Descriptors: Evidence, Science Education, Educational Policy, Standards
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Shen, Zuchao; Kelcey, Benjamin – Journal of Experimental Education, 2022
Optimal design of multisite randomized trials leverages sampling costs to optimize sampling ratios and ultimately identify more efficient and powerful designs. Past implementations of the optimal design framework have assumed that costs of sampling units are equal across treatment conditions. In this study, we developed a more flexible optimal…
Descriptors: Randomized Controlled Trials, Sampling, Research Design, Statistical Analysis
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Huey T. Chen; Liliana Morosanu; Victor H. Chen – Asia Pacific Journal of Education, 2024
The Campbellian validity typology has been used as a foundation for outcome evaluation and for developing evidence-based interventions for decades. As such, randomized control trials were preferred for outcome evaluation. However, some evaluators disagree with the validity typology's argument that randomized controlled trials as the best design…
Descriptors: Evaluation Methods, Systems Approach, Intervention, Evidence Based Practice
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Kraft, Matthew A. – Educational Researcher, 2023
It is a healthy exercise to debate the merits of using effect-size benchmarks to interpret research findings. However, these debates obscure a more central insight that emerges from empirical distributions of effect-size estimates in the literature: Efforts to improve education often fail to move the needle. I find that 36% of effect sizes from…
Descriptors: Effect Size, Benchmarking, Educational Research, Educational Policy
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Odom, Samuel L. – Research and Practice for Persons with Severe Disabilities, 2021
The purpose of this article is to examine the application of randomized controlled trial (RCT) methodology for determining the efficacy of school-based interventions in general and special education. In education science, RCTs are widely acknowledged as the gold standard of efficacy research, with other methodologies relegated to a lower level of…
Descriptors: Students with Disabilities, Randomized Controlled Trials, Program Effectiveness, Intervention
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Anthony Gambino – Society for Research on Educational Effectiveness, 2021
Analysis of symmetrically predicted endogenous subgroups (ASPES) is an approach to assessing heterogeneity in an ITT effect from a randomized experiment when an intermediate variable (one that is measured after random assignment and before outcomes) is hypothesized to be related to the ITT effect, but is only measured in one group. For example,…
Descriptors: Randomized Controlled Trials, Prediction, Program Evaluation, Credibility
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Juan David Parra; D. Brent Edwards Jr. – Critical Studies in Education, 2024
This paper seeks to raise awareness among educational researchers and practitioners of some significant weaknesses and internal contradictions of randomised control trials (RCTs). Although critiques throughout the years from education scholars have pointed to the detrimental effects of this experimental approach on education practice and values,…
Descriptors: Randomized Controlled Trials, Evidence Based Practice, Educational Practices, Educational Policy
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Journal of Educational and Behavioral Statistics, 2023
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
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Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
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