Publication Date
| In 2026 | 0 |
| Since 2025 | 8 |
| Since 2022 (last 5 years) | 45 |
| Since 2017 (last 10 years) | 111 |
| Since 2007 (last 20 years) | 157 |
Descriptor
Source
Author
| Kelcey, Ben | 8 |
| Spybrook, Jessaca | 7 |
| Dong, Nianbo | 6 |
| Kelcey, Benjamin | 5 |
| Shen, Zuchao | 5 |
| Deke, John | 4 |
| Jessaca Spybrook | 4 |
| Zuchao Shen | 4 |
| Ben Kelcey | 3 |
| Jones, Nathan | 3 |
| Kautz, Tim | 3 |
| More ▼ | |
Publication Type
Education Level
Audience
| Researchers | 5 |
| Policymakers | 2 |
| Practitioners | 2 |
Location
| Texas | 6 |
| Illinois | 4 |
| New York (New York) | 4 |
| North Carolina | 3 |
| United Kingdom (England) | 3 |
| Arkansas | 2 |
| Indiana | 2 |
| Massachusetts | 2 |
| United Kingdom | 2 |
| Wisconsin | 2 |
| Arizona | 1 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
| Bayley Mental Development… | 1 |
| Bayley Scales of Infant… | 1 |
| Gates MacGinitie Reading Tests | 1 |
| Massachusetts Comprehensive… | 1 |
| Program for International… | 1 |
| Stanford Achievement Tests | 1 |
What Works Clearinghouse Rating
| Does not meet standards | 1 |
Clarissa Victoria Velez; Mileini Campez-Pardo; Jennifer Mariam Canovas; Paloma Maria Pedronzo; Yeojin Amy Ahn; Chelsea Faye Dale; Sannisha K. Dale; Lisa Gwynn; Amanda Jensen-Doss; Elizabeth R. Pulgaron; Sara Mijares St. George; Jill Ehrenreich-May – Grantee Submission, 2025
Background: Despite many adolescents experiencing mental health concerns, a substantial portion lack access to evidence-based treatments (EBTs) for psychopathology; this issue is magnified for adolescents belonging to communities considered marginalized. One way to ameliorate this is by adapting existent EBTs--typically delivered in research…
Descriptors: Prevention, High School Students, Evidence Based Practice, Therapy
Tipton, Elizabeth – American Journal of Evaluation, 2022
Practitioners and policymakers often want estimates of the effect of an intervention for their local community, e.g., region, state, county. In the ideal, these multiple population average treatment effect (ATE) estimates will be considered in the design of a single randomized trial. Methods for sample selection for generalizing the sample ATE to…
Descriptors: Sampling, Sample Size, Selection, Randomized Controlled Trials
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
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
Yanli Xie – ProQuest LLC, 2022
The purpose of this dissertation is to develop principles and strategies for and identify limitations of multisite cluster randomized trials in the context of partially and fully nested designs. In the first study, I develop principles of estimation, sampling variability, and inference for studies that leverage multisite designs within the context…
Descriptors: Randomized Controlled Trials, Research Design, Computation, Sampling
Kyle Cox; Ben Kelcey; Hannah Luce – Journal of Experimental Education, 2024
Comprehensive evaluation of treatment effects is aided by considerations for moderated effects. In educational research, the combination of natural hierarchical structures and prevalence of group-administered or shared facilitator treatments often produces three-level partially nested data structures. Literature details planning strategies for a…
Descriptors: Randomized Controlled Trials, Monte Carlo Methods, Hierarchical Linear Modeling, Educational Research
Tiwonge K. Mtande; Carl Lombard; Gonasagrie Nair; Stuart Rennie – Research Ethics, 2024
Although the use of the cluster randomized trial (CRT) design to evaluate vaccines, public health interventions or health systems is increasing, the ethical issues posed by the design are not adequately addressed, especially in low- and middle-income country settings (LMICs). To help reveal ethical challenges, qualitative interviews were conducted…
Descriptors: Stakeholders, Ethics, Randomized Controlled Trials, Medical Research
Shen, Zuchao; Kelcey, Benjamin – Journal of Research on Educational Effectiveness, 2022
Optimal sampling frameworks attempt to identify the most efficient sampling plans to achieve an adequate statistical power. Although such calculations are theoretical in nature, they are critical to the judicious and wise use of funding because they serve as important starting points that guide practical discussions around sampling tradeoffs and…
Descriptors: Sampling, Research Design, Randomized Controlled Trials, Statistical Analysis
Eric C. Hedberg – Grantee Submission, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
E. C. Hedberg – American Journal of Evaluation, 2023
In cluster randomized evaluations, a treatment or intervention is randomly assigned to a set of clusters each with constituent individual units of observations (e.g., student units that attend schools, which are assigned to treatment). One consideration of these designs is how many units are needed per cluster to achieve adequate statistical…
Descriptors: Statistical Analysis, Multivariate Analysis, Randomized Controlled Trials, Research Design
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
Lucy Beasant; Alba Realpe; Sarah Douglas; Lorcan Kenny; Dheeraj Rai; Nicola Mills – Autism: The International Journal of Research and Practice, 2024
The purpose of this study is to explore the views of autistic adults on randomised controlled trials, specifically on processes such as randomisation and blinding, to understand the barriers and facilitators for recruiting autistic people to randomised controlled trials involving medications. We conducted one-to-one interviews with 49 autistic…
Descriptors: Autism Spectrum Disorders, Adults, Attitudes, Randomized Controlled Trials
Marie-Andrée Somers; Michael J. Weiss; Colin Hill – Grantee Submission, 2022
The last two decades have seen a dramatic increase in randomized controlled trials (RCTs) conducted in community colleges. Yet, there is limited empirical information on the design parameters necessary to plan the sample size for RCTs in this context. We provide empirical estimates of key design parameters, discussing lessons based on the pattern…
Descriptors: Randomized Controlled Trials, Research Design, Sample Size, Statistical Analysis
Brown, Seth; Song, Mengli; Cook, Thomas D.; Garet, Michael S. – American Educational Research Journal, 2023
This study examined bias reduction in the eight nonequivalent comparison group designs (NECGDs) that result from combining (a) choice of a local versus non-local comparison group, and analytic use or not of (b) a pretest measure of the study outcome and (c) a rich set of other covariates. Bias was estimated as the difference in causal estimate…
Descriptors: Research Design, Pretests Posttests, Computation, Bias
A. Brooks Bowden – AERA Open, 2023
Although experimental evaluations have been labeled the "gold standard" of evidence for policy (U.S. Department of Education, 2003), evaluations without an analysis of costs are not sufficient for policymaking (Monk, 1995; Ross et al., 2007). Funding organizations now require cost-effectiveness data in most evaluations of effects. Yet,…
Descriptors: Cost Effectiveness, Program Evaluation, Economics, Educational Finance

Peer reviewed
Direct link
