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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
Xinhe Wang; Ben B. Hansen – Society for Research on Educational Effectiveness, 2024
Background: Clustered randomized controlled trials are commonly used to evaluate the effectiveness of treatments. Frequently, stratified or paired designs are adopted in practice. Fogarty (2018) studied variance estimators for stratified and not clustered experiments and Schochet et. al. (2022) studied that for stratified, clustered RCTs with…
Descriptors: Causal Models, Randomized Controlled Trials, Computation, Probability
Justin Boutilier; Jonas Jonasson; Hannah Li; Erez Yoeli – Society for Research on Educational Effectiveness, 2024
Background: Randomized controlled trials (RCTs), or experiments, are the gold standard for intervention evaluation. However, the main appeal of RCTs--the clean identification of causal effects--can be compromised by interference, when one subject's actions can influence another subject's behavior or outcomes. In this paper, we formalize and study…
Descriptors: Randomized Controlled Trials, Intervention, Mathematical Models, Interference (Learning)
Wendy Castillo; Lindsay Dusard – Society for Research on Educational Effectiveness, 2024
Background: The emergence of causal research in education was almost strictly quantitative twenty years ago, however, that landscape has changed considerably. The number of intervention studies fielded and completed annually has increased substantially, and the quality of the evaluations is much more robust, including paying much greater attention…
Descriptors: Randomized Controlled Trials, Educational Research, Equal Education, Educational Policy
Huang, Francis L.; Zhang, Bixi; Li, Xintong – Journal of Research on Educational Effectiveness, 2023
Binary outcomes are often analyzed in cluster randomized trials (CRTs) using logistic regression and cluster robust standard errors (CRSEs) are routinely used to account for the dependent nature of nested data in such models. However, CRSEs can be problematic when the number of clusters is low (e.g., < 50) and, with CRTs, a low number of…
Descriptors: Robustness (Statistics), Error of Measurement, Regression (Statistics), Multivariate Analysis
Group Design Studies in Rural Special Education: Opportunities for Advancing Evidence-Based Practice
Brittany L. Hott; Nicolette M. Grasley-Boy; Wilhelmina van Dijk; Lauren N. Wong – Rural Special Education Quarterly, 2025
Group design studies in education include groups such as students, teachers, caregivers, schools, or districts assigned to conditions, typically treatment and control, to compare outcomes between the groups. Although the use of group designs in education has become more frequent and robust, the use of group designs in rural education lags far…
Descriptors: Special Education, Rural Education, Educational Research, Research Design
Avril Nicoll; Marian C. Brady; Patricia Masterson-Algar; Christopher Burton; Gillian Beaton; Sylvia Dickson; Maria Caulfield; Christina H. Smith; Carl E. Clarke; Natalie Ives; Sue Jowett; Caroline Rick; Rebecca Woolley; Catherine M. Sackley – International Journal of Language & Communication Disorders, 2025
Background: As people with Parkinson's experience progressive communication changes, effective, implementable speech and language therapy (SLT) interventions are needed. Process evaluations alongside pragmatic randomised controlled trials (RCTs) are of clinical value if they describe, compare and understand the implementation of trial…
Descriptors: Foreign Countries, Neurological Impairments, Intervention, Program Implementation
Maite Alguacil; Noemí Herranz-Zarzoso; José C. Pernías; Gerardo Sabater-Grande – Journal of Computing in Higher Education, 2024
Cheating in online exams without face-to-face proctoring has been a general concern for academic instructors during the crisis caused by COVID-19. The main goal of this work is to evaluate the cost of these dishonest practices by comparing the academic performance of webcam-proctored students and their unproctored peers in an online gradable test.…
Descriptors: Cheating, Computer Assisted Testing, Randomized Controlled Trials, Supervision
A. E. Ades; Nicky J. Welton; Sofia Dias; David M. Phillippo; Deborah M. Caldwell – Research Synthesis Methods, 2024
Network meta-analysis (NMA) is an extension of pairwise meta-analysis (PMA) which combines evidence from trials on multiple treatments in connected networks. NMA delivers internally consistent estimates of relative treatment efficacy, needed for rational decision making. Over its first 20 years NMA's use has grown exponentially, with applications…
Descriptors: Network Analysis, Meta Analysis, Medicine, Clinical Experience
Qingqing Liu; Weibo Li; Yuanwu Chen; Shaohua Zhang; Zengxin Sun; Yuhui Yang; Peiyuan Lv; Yu Yin – International Journal of Language & Communication Disorders, 2024
Background: Although existing studies have shown that both repetitive transcranial magnetic stimulation (rTMS) and music therapy have advantages in the treatment of non-fluent aphasia, the efficacy of the combination of these two methods remains to be investigated. Aims: To investigate the clinical efficacy of low-frequency rTMS combined with…
Descriptors: Repetition, Stimulation, Brain, Aphasia
Timothy Lycurgus; Daniel Almirall – Society for Research on Educational Effectiveness, 2024
Background: Education scientists are increasingly interested in constructing interventions that are adaptive over time to suit the evolving needs of students, classrooms, or schools. Such "adaptive interventions" (also referred to as dynamic treatment regimens or dynamic instructional regimes) determine which treatment should be offered…
Descriptors: Educational Research, Research Design, Randomized Controlled Trials, Intervention
Wei Li; Yanli Xie; Dung Pham; Nianbo Dong; Jessaca Spybrook; Benjamin Kelcey – Asia Pacific Education Review, 2024
Cluster randomized trials (CRTs) are commonly used to evaluate the causal effects of educational interventions, where the entire clusters (e.g., schools) are randomly assigned to treatment or control conditions. This study introduces statistical methods for designing and analyzing two-level (e.g., students nested within schools) and three-level…
Descriptors: Research Design, Multivariate Analysis, Randomized Controlled Trials, Hierarchical Linear Modeling
Reagan Mozer; Luke Miratrix – Society for Research on Educational Effectiveness, 2023
Background: For randomized trials that use text as an outcome, traditional approaches for assessing treatment impact require each document first be manually coded for constructs of interest by trained human raters. These hand-coded scores are then used as a measured outcome for an impact analysis, with the average scores of the treatment group…
Descriptors: Artificial Intelligence, Coding, Randomized Controlled Trials, Research Methodology
Wei Li; Walter Leite; Jia Quan – Society for Research on Educational Effectiveness, 2023
Background: Multilevel randomized controlled trials (MRCTs) have been widely used to evaluate the causal effects of educational interventions. Traditionally, educational researchers and policymakers focused on the average treatment effects (ATE) of the intervention. Recently there has been an increasing interest in evaluating the heterogeneity of…
Descriptors: Artificial Intelligence, Identification, Hierarchical Linear Modeling, Randomized Controlled Trials
Charlotte Z. Mann; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2025
Combining observational and experimental data for causal inference can improve treatment effect estimation. However, many observational data sets cannot be released due to data privacy considerations, so one researcher may not have access to both experimental and observational data. Nonetheless, a small amount of risk of disclosing sensitive…
Descriptors: Causal Models, Statistical Analysis, Privacy, Risk

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