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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
Edoardo G. Ostinelli; Orestis Efthimiou; Yan Luo; Clara Miguel; Eirini Karyotaki; Pim Cuijpers; Toshi A. Furukawa; Georgia Salanti; Andrea Cipriani – Research Synthesis Methods, 2024
When studies use different scales to measure continuous outcomes, standardised mean differences (SMD) are required to meta-analyse the data. However, outcomes are often reported as endpoint or change from baseline scores. Combining corresponding SMDs can be problematic and available guidance advises against this practice. We aimed to examine the…
Descriptors: Network Analysis, Meta Analysis, Depression (Psychology), Regression (Statistics)
Jonathan L. Preston; Nicole F. Caballero; Megan C. Leece; Dongliang Wang; Benedette M. Herbst; Nina R. Benway – Journal of Speech, Language, and Hearing Research, 2024
Purpose: This study examines how ultrasound biofeedback and intensive treatment distribution affect speech sound generalization during an evidence-based treatment, Speech Motor Chaining, for children with persisting speech errors associated with childhood apraxia of speech (CAS). Method: In a 2 × 2 factorial randomized controlled trial, children…
Descriptors: Randomized Controlled Trials, Biofeedback, Speech Communication, Speech Impairments
Makoto Hanita; Graham Buhrman; Joy Kennedy; Jacqueline Zweig; Hai Lun Tan; Alice Kaiser; Kevin Waterman – Society for Research on Educational Effectiveness, 2024
Background: Mission US is a series of interactive first-person role-playing history games and curricular materials that address a critical problem: students lack fundamental knowledge of our nation's history. According to the most recent National Assessment of Educational Progress (NAEP, 2018), only 13% of Grade 8 students were proficient on the…
Descriptors: United States History, History Instruction, Middle School Students, Educational Games
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Statistical Analysis, Middle School Students, High School Students
Gillam, Sandra Laing; Vaughn, Sharon; Roberts, Greg; Capin, Philip; Fall, Anna-Maria; Israelsen-Augenstein, Megan; Holbrook, Sarai; Wada, Rebekah; Hancock, Allison; Fox, Carly; Dille, Jordan; Magimairaj, Beula M.; Gillam, Ronald B. – Journal of Educational Psychology, 2023
Narration has been shown to be a foundational skill for literacy development in school-age children. Elementary teachers routinely conduct classroom lessons that focus on reading decoding and comprehension, but they rarely provide instruction in oral narration (Hall et al., 2021). This multisite randomized controlled trial was designed to…
Descriptors: Elementary School Students, At Risk Students, Language Impairments, Reading Difficulties
Sales, Adam C.; Prihar, Ethan B.; Gagnon-Bartsch, Johann A.; Heffernan, Neil T. – Journal of Educational Data Mining, 2023
Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…
Descriptors: Data Use, Research Methodology, Randomized Controlled Trials, Educational Technology
Michael Sanders; Jack Summers; Vanessa Hirneis; Susannah Hume; Gabrielle McGannon – Evidence & Policy: A Journal of Research, Debate and Practice, 2023
Background: Randomised trials have been on the rise in social policy over the last decade and a half, particularly in areas working with young people and vulnerable adults. Informed consent is an important principle for ethics committees governing research conducted by universities. Aims and objectives: We consider the arguments for and against…
Descriptors: Ethics, Research Committees, Informed Consent, Participation
Sam Sims; Jake Anders; Matthew Inglis; Hugues Lortie-Forgues; Ben Styles; Ben Weidmann – Annenberg Institute for School Reform at Brown University, 2023
Over the last twenty years, education researchers have increasingly conducted randomised experiments with the goal of informing the decisions of educators and policymakers. Such experiments have generally employed broad, consequential, standardised outcome measures in the hope that this would allow decisionmakers to compare effectiveness of…
Descriptors: Educational Research, Research Methodology, Randomized Controlled Trials, Program Effectiveness
O'Brian, Sue; Heard, Rob; Onslow, Mark; Packman, Ann; Lowe, Robyn; Menzies, Ross G. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: In a companion paper, we found no statistical reason to favor percentage syllables stuttered (%SS) over parent-reported stuttering severity as a primary outcome measure for clinical trials of early stuttering. Hence, considering the logistical advantages of the latter measure, we recommended parent-reported stuttering severity for use as…
Descriptors: Stuttering, Adults, Syllables, Severity (of Disability)
Schochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2020
This article discusses estimation of average treatment effects for randomized controlled trials (RCTs) using grouped administrative data to help improve data access. The focus is on design-based estimators, derived using the building blocks of experiments, that are conducive to grouped data for a wide range of RCT designs, including clustered and…
Descriptors: Randomized Controlled Trials, Data Analysis, Research Design, Multivariate Analysis
What Works Clearinghouse, 2021
The What Works Clearinghouse (WWC) identifies existing research on educational interventions, assesses the quality of the research, and summarizes and disseminates the evidence from studies that meet WWC standards. The WWC aims to provide enough information so educators can use the research to make informed decisions in their settings. This…
Descriptors: Program Effectiveness, Intervention, Educational Research, Educational Quality
Peter Schochet – Society for Research on Educational Effectiveness, 2021
Background: When RCTs are not feasible and time series data are available, panel data methods can be used to estimate treatment effects on outcomes, by exploiting variation in policies and conditions over time and across locations. A complication with these methods, however, is that treatment timing often varies across the sample, for example, due…
Descriptors: Statistical Analysis, Computation, Randomized Controlled Trials, COVID-19
Shahid A. Choudhry; Timothy J. Muckle; Christopher J. Gill; Rajat Chadha; Magnus Urosev; Matt Ferris; John C. Preston – Practical Assessment, Research & Evaluation, 2024
The National Board of Certification and Recertification for Nurse Anesthetists (NBCRNA) conducted a one-year research study comparing performance on the traditional continued professional certification assessment, administered at a test center or online with remote proctoring, to a longitudinal assessment that required answering quarterly…
Descriptors: Nurses, Certification, Licensing Examinations (Professions), Computer Assisted Testing
Yanping Pei; Adam Sales; Johann Gagnon-Bartsch – Grantee Submission, 2024
Randomized A/B tests within online learning platforms enable us to draw unbiased causal estimators. However, precise estimates of treatment effects can be challenging due to minimal participation, resulting in underpowered A/B tests. Recent advancements indicate that leveraging auxiliary information from detailed logs and employing design-based…
Descriptors: Randomized Controlled Trials, Learning Management Systems, Causal Models, Learning Analytics

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