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Nianbo Dong; Benjamin Kelcey; Jessaca Spybrook; Yanli Xie; Dung Pham; Peilin Qiu; Ning Sui – Grantee Submission, 2024
Multisite trials that randomize individuals (e.g., students) within sites (e.g., schools) or clusters (e.g., teachers/classrooms) within sites (e.g., schools) are commonly used for program evaluation because they provide opportunities to learn about treatment effects as well as their heterogeneity across sites and subgroups (defined by moderating…
Descriptors: Statistical Analysis, Randomized Controlled Trials, Educational Research, Effect Size
Jill Locke; Nathaniel J. Williams; Aksheya Sridhar; Mark G. Ehrhart; Alex Dopp; Marissa Thirion; Christine Espeland; Brandon Riddle; Kelcey Schmitz; Kurt Hatch; Lindsey Buehler; Aaron R. Lyon – Grantee Submission, 2025
Background: Schools need to implement universal student supports that prevent social, emotional, and behavioral difficulties; minimize associated risks; and promote social, emotional, and behavioral competencies. The purpose of this study is to examine the efficacy of the Helping Educational Leaders Mobilize Evidence (HELM) implementation strategy…
Descriptors: Positive Behavior Supports, Elementary Schools, Program Implementation, Program Effectiveness
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
Avery H. Closser; Adam Sales; Anthony F. Botelho – Grantee Submission, 2024
Emergent technologies present platforms for educational researchers to conduct randomized controlled trials (RCTs) and collect rich data on study students' performance, behavior, learning processes, and outcomes in authentic learning environments. As educational research increasingly uses methods and data collection from such platforms, it is…
Descriptors: Data Analysis, Educational Research, Randomized Controlled Trials, Sampling
Michael J. Weiss; Howard S. Bloom; Kriti Singh – Grantee Submission, 2022
This article provides evidence about predictive relationships between features of community college interventions and their impacts on student progress. This evidence is based on analyses of student-level data from large-scale randomized trials of 39 (mostly) community college interventions. Specifically, the evidence consistently indicates that…
Descriptors: Community College Students, Intervention, Predictive Measurement, Randomized Controlled Trials
Tipton, Elizabeth; Matlen, Bryan J. – Grantee Submission, 2019
Randomized control trials (RCTs) have long been considered the "gold standard" for evaluating the impacts of interventions. However, in most education RCTs, the sample of schools included is recruited based on convenience, potentially compromising a study's ability to generalize to an intended population. An alternative approach is to…
Descriptors: Randomized Controlled Trials, Recruitment, Educational Research, Generalization
Kaplan, Avi; Cromley, Jennifer; Perez, Tony; Dai, Ting; Mara, Kyle; Balsai, Michael – Grantee Submission, 2020
In this commentary, we complement other constructive critiques of educational randomized control trials (RCTs) by calling attention to the commonly ignored role of context in causal mechanisms undergirding educational phenomena. We argue that evidence for the central role of context in causal mechanisms challenges the assumption that RCT findings…
Descriptors: Context Effect, Educational Research, Randomized Controlled Trials, Causal Models
Benjamin A. Motz; Öykü Üner; Harmony E. Jankowski; Marcus A. Christie; Kim Burgas; Diego del Blanco Orobitg; Mark A. McDaniel – Grantee Submission, 2023
For researchers seeking to improve education, a common goal is to identify teaching practices that have causal benefits in classroom settings. To test whether an instructional practice exerts a causal influence on an outcome measure, the most straightforward and compelling method is to conduct an experiment. While experimentation is common in…
Descriptors: Learning Analytics, Experiments, Learning Processes, Learning Management Systems
Rachel Abenavoli; Natalia Rojas; Rebecca Unterman; Elise Cappella; Josh Wallack; Pamela Morris – Grantee Submission, 2021
In this article, Rachel Abenavoli, Natalia Rojas, Rebecca Unterman, Elise Cappella, Josh Wallack, and Pamela Morris argue that research-practice partnerships make it possible to rigorously study relevant policy questions in ways that would otherwise be infeasible. Randomized controlled trials of small-scale programs have shown us that early…
Descriptors: Educational Research, Early Childhood Education, Research Design, Preschool Education
Petscher, Yaacov; Schatschneider, Christopher – Grantee Submission, 2019
Complex data structures are ubiquitous in psychological research, especially in educational settings. In the context of randomized controlled trials, students are nested in classrooms but may be cross-classified by other units, such as small groups. Further, in many cases only some students may be nested within a unit while other students may not.…
Descriptors: Structural Equation Models, Causal Models, Randomized Controlled Trials, Hierarchical Linear Modeling
Watts, Tyler W.; Bailey, Drew H.; Li, Chen – Grantee Submission, 2019
Theories regarding the long-term effects of educational interventions are often assumed, but rarely tested using experimental methods. In the following commentary, we argue that the shortage of randomized control trials with long-term follow-up presents serious problems for the field, as it hampers our ability to develop educational programs that…
Descriptors: Educational Research, Longitudinal Studies, Educational Quality, Randomized Controlled Trials
Gagnon-Bartsch, J. A.; Sales, A. C.; Wu, E.; Botelho, A. F.; Erickson, J. A.; Miratrix, L. W.; Heffernan, N. T. – Grantee Submission, 2019
Randomized controlled trials (RCTs) admit unconfounded design-based inference--randomization largely justifies the assumptions underlying statistical effect estimates--but often have limited sample sizes. However, researchers may have access to big observational data on covariates and outcomes from RCT non-participants. For example, data from A/B…
Descriptors: Randomized Controlled Trials, Educational Research, Prediction, Algorithms
Hedges, Larry V.; Schauer, Jacob – Grantee Submission, 2018
Background and purpose: Studies of education and learning that were described as experiments have been carried out in the USA by educational psychologists since about 1900. In this paper, we discuss the history of randomised trials in education in the USA in terms of five historical periods. In each period, the use of randomised trials was…
Descriptors: Randomized Controlled Trials, Educational Research, Educational Psychology, Educational History
Larry V. Hedges – Grantee Submission, 2017
The scientific rigor of education research has improved dramatically since the year 2000. Much of the credit for this improvement is deserved by Institute of Education Sciences (IES) policies that helped create a demand for rigorous research; increased human capital capacity to carry out such work; provided funding for the work itself; and…
Descriptors: Educational Research, Generalization, Intervention, Human Capital
Wang, Yan; Ostrow, Korinn; Beck, Joseph; Heffernan, Neil – Grantee Submission, 2016
The focus of the learning analytics community bridges the gap between controlled educational research and data mining. Online learning platforms can be used to conduct randomized controlled trials to assist in the development of interventions that increase learning gains; datasets from such research can act as a treasure trove for inquisitive data…
Descriptors: Learning Analytics, Educational Research, Randomized Controlled Trials, Information Retrieval
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