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Dahlia K. Remler; Gregg G. Van Ryzin – American Journal of Evaluation, 2025
This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment--the process driving…
Descriptors: Quasiexperimental Design, Research Design, Experiments, Predictor Variables
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Andrew Jaciw – Society for Research on Educational Effectiveness, 2024
Background: Rooted in problems of social justice, intersectionality addresses intragroup differences in impacts and outcomes and the compound discrimination at specific intersections of classification (Crenshaw,1991). It stresses that deficits/debts in outcomes often occur non-additively; for example, discriminatory hiring practices can be…
Descriptors: Intersectionality, Classification, Randomized Controlled Trials, Factor Analysis
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Yuan Tian; Xi Yang; Suhail A. Doi; Luis Furuya-Kanamori; Lifeng Lin; Joey S. W. Kwong; Chang Xu – Research Synthesis Methods, 2024
RobotReviewer is a tool for automatically assessing the risk of bias in randomized controlled trials, but there is limited evidence of its reliability. We evaluated the agreement between RobotReviewer and humans regarding the risk of bias assessment based on 1955 randomized controlled trials. The risk of bias in these trials was assessed via two…
Descriptors: Risk, Randomized Controlled Trials, Classification, Robotics
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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
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Moustgaard, Helene; Jones, Hayley E.; Savovic, Jelena; Clayton, Gemma L.; Sterne, Jonathan AC; Higgins, Julian PT; Hróbjartsson, Asbjørn – Research Synthesis Methods, 2020
Randomized clinical trials underpin evidence-based clinical practice, but flaws in their conduct may lead to biased estimates of intervention effects and hence invalid treatment recommendations. The main approach to the empirical study of bias is to collate a number of meta-analyses and, within each, compare the results of trials with and without…
Descriptors: Epidemiology, Evidence, Medical Research, Intervention
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Taylor Lesner; Ben Clarke; Derek Kosty; Geovanna Rodriguez; Elizabeth L. Budd; Christian Doabler – Grantee Submission, 2025
This secondary analysis of data from a randomized control trial of an early mathematics intervention, ROOTS, explored whether patterns of intervention response were best categorized by the typical response/non-response binary or a more complex framework with additional response profiles. Participants included kindergarten students at risk for…
Descriptors: Mathematics Instruction, Response to Intervention, At Risk Students, Kindergarten
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Moerbeek, Mirjam; Safarkhani, Maryam – Journal of Educational and Behavioral Statistics, 2018
Data from cluster randomized trials do not always have a pure hierarchical structure. For instance, students are nested within schools that may be crossed by neighborhoods, and soldiers are nested within army units that may be crossed by mental health-care professionals. It is important that the random cross-classification is taken into account…
Descriptors: Randomized Controlled Trials, Classification, Research Methodology, Military Personnel
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Milburn, Trelani F.; Lonigan, Christopher J.; Phillips, Beth M. – Elementary School Journal, 2017
This response to intervention study examined agreement between classification methods of preschool children's responsiveness to Tier 2 intervention using level of performance (25th percentile), growth (equivalent to small and medium effect sizes), and both level of performance and growth in a dual-discrepancy approach. Overall, 181 children…
Descriptors: Response to Intervention, Classification, Preschool Children, Preschool Education
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Chan, Wendy – AERA Online Paper Repository, 2017
Policymakers are increasingly interested in the extent to which experimental results generalize from a sample to a population of inference. When the sample is not randomly selected, propensity score methods are used to reweight the sample. Subclassification by propensity score is commonly used in which the population is partitioned into strata…
Descriptors: Generalization, Classification, Randomized Controlled Trials, Inferences
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Marshall, Iain J.; Noel-Storr, Anna; Kuiper, Joël; Thomas, James; Wallace, Byron C. – Research Synthesis Methods, 2018
Machine learning (ML) algorithms have proven highly accurate for identifying Randomized Controlled Trials (RCTs) but are not used much in practice, in part because the best way to make use of the technology in a typical workflow is unclear. In this work, we evaluate ML models for RCT classification (support vector machines, convolutional neural…
Descriptors: Randomized Controlled Trials, Accuracy, Computer Software, Classification
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Johari, Sahar; Rassafiani, Mehdi; Dalvand, Hamid; Ahmadi Kahjoogh, Mina; Daemi, Mostafa – Journal of Occupational Therapy, Schools & Early Intervention, 2016
Cerebral palsy (CP) is the most common physical disability in children. These children require long-term therapy for achieving better motor function. It seems that treatment and training at home is necessary. The purpose of this study was to determine the impact of handling training of mothers at home on fine motor skill development of children…
Descriptors: Cerebral Palsy, Children, Occupational Therapy, Mothers
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What Works Clearinghouse, 2011
With its critical assessments of scientific evidence on the effectiveness of education programs, policies, and practices (referred to as "interventions"), and a range of products summarizing this evidence, the What Works Clearinghouse (WWC) is an important part of the Institute of Education Sciences' strategy to use rigorous and relevant…
Descriptors: Standards, Access to Information, Information Management, Guides