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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
Deborah M. Caldwell; Jennifer C. Palmer; Katie E. Webster; Sarah R. Davies; Hugo Hughes; Joseph Rona; Rachel Churchill; Sarah E. Hetrick; Nicky J. Welton – Prevention Science, 2025
Many randomized controlled trials have investigated the role of school-based prevention interventions to reduce symptoms of anxiety and depression in young people. Systematic reviews have subsequently demonstrated a small, beneficial effect of these interventions when compared to a combined control group including usual care, no intervention, or…
Descriptors: Depression (Psychology), Prevention, Randomized Controlled Trials, Symptoms (Individual Disorders)
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
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
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
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
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
Solís-Cordero, Katherine; Lerner, Rogério; Marinho, Patricia; Camargo, Patricia; Takey, Silvia; Fujimori, Elizabeth – International Journal of Social Research Methodology, 2022
The current situation due to the COVID-19 pandemic has had huge consequences in all aspects of our lives, including the development of research activities. Studies involving face-to-face interaction with people, such as randomized controlled trials, were the first affected. The objective of this article is to present the insights on challenges…
Descriptors: COVID-19, Pandemics, Randomized Controlled Trials, Barriers
UK Department for Education, 2022
At every stage since the start of the pandemic, decisions across education and childcare have been informed by the scientific and medical evidence -- both on the risks of coronavirus (COVID-19) infection, transmission and illness, and on the known risks to children and young people not attending education settings -- balancing public health and…
Descriptors: Evidence, COVID-19, Pandemics, Foreign Countries