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Jill Locke; Nathaniel J. Williams; Aksheya Sridhar; Mark G. Ehrhart; Alex Dopp; Marissa Thirion; Christine Espeland; Brandon Riddle; Kelcey Schmitz; Kurt Hatch; Lindsey Buehler; Aaron R. Lyon – Grantee Submission, 2025
Background: Schools need to implement universal student supports that prevent social, emotional, and behavioral difficulties; minimize associated risks; and promote social, emotional, and behavioral competencies. The purpose of this study is to examine the efficacy of the Helping Educational Leaders Mobilize Evidence (HELM) implementation strategy…
Descriptors: Positive Behavior Supports, Elementary Schools, Program Implementation, Program Effectiveness
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Riley, Richard D.; Collins, Gary S.; Hattle, Miriam; Whittle, Rebecca; Ensor, Joie – Research Synthesis Methods, 2023
Before embarking on an individual participant data meta-analysis (IPDMA) project, researchers should consider the power of their planned IPDMA conditional on the studies promising their IPD and their characteristics. Such power estimates help inform whether the IPDMA project is worth the time and funding investment, before IPD are collected. Here,…
Descriptors: Computation, Meta Analysis, Participant Characteristics, Data
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Hsin, Lisa B.; Miratrix, Luke; Kim, Ha Yeon; LaRusso, Maria D.; Snow, Catherine E. – Elementary School Journal, 2023
Understanding the factors associated with variation in the implementation of educational programs has emerged as a key research focus, in an effort to identify how promising programs can be scaled up across their targeted contexts. The current study explored demographic-related variation in program dosage using a novel source of implementation…
Descriptors: Predictor Variables, Curriculum Design, Curriculum Implementation, Randomized Controlled Trials
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Qi, Hongchao; Rizopoulos, Dimitris; Rosmalen, Joost – Research Synthesis Methods, 2023
The meta-analytic-predictive (MAP) approach is a Bayesian method to incorporate historical controls in new trials that aims to increase the statistical power and reduce the required sample size. Here we investigate how to calculate the sample size of the new trial when historical data is available, and the MAP approach is used in the analysis. In…
Descriptors: Sample Size, Computation, Meta Analysis, Bayesian Statistics
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Cizmar, Anne M.; Holt, Benjamin Tyler – Journal of Political Science Education, 2023
Reading is critical to success in college. Faculty members often decry students who come to class without reading, and unprepared for the lessons of the day. Yet, relatively little empirical research assesses how to best stimulate collegiate reading and what types of reading assessments provide the best student learning outcomes. This paper…
Descriptors: Reading Tests, Randomized Controlled Trials, Critical Reading, Assignments
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Sims, Sam; Anders, Jake; Inglis, Matthew; Lortie-Forgues, Hugues – Journal of Research on Educational Effectiveness, 2023
Randomized controlled trials have proliferated in education, in part because they provide an unbiased estimator for the causal impact of interventions. It is increasingly recognized that many such trials in education have low power to detect an effect if indeed there is one. However, it is less well known that low powered trials tend to…
Descriptors: Randomized Controlled Trials, Educational Research, Effect Size, Intervention
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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
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Siemens, Waldemar; Meerpohl, Joerg J.; Rohe, Miriam S.; Buroh, Sabine; Schwarzer, Guido; Becker, Gerhild – Research Synthesis Methods, 2022
Using the Hartung-Knapp method and 95% prediction intervals (PIs) in random-effects meta-analyses is recommended by experts but rarely applied. Therefore, we aimed to reevaluate statistically significant meta-analyses using the Hartung-Knapp method and 95% PIs. In this methodological study, three databases were searched from January 2010 to July…
Descriptors: Cancer, Meta Analysis, Medical Research, Patients
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Jianjun Ou; Robert C. Smith; Russell H. Tobe; Jingjing Lin; Jen Arriaza; Jed W. Fahey; Ruiting Liu; Ying Zeng; Yanan Liu; Lian Huang; Yidong Shen; Yamin Li; Daomeng Cheng; Brian Cornblatt; John M. Davis; Jingping Zhao; Renrong Wu; Hua Jin – Journal of Autism and Developmental Disorders, 2024
Sulforaphane has been reported to possibly improve core symptoms associated with autism spectrum disorders from mostly small size studies. Here we present results of a larger randomized clinical trial (N = 108) in China. There were no significant changes in caregiver rated scales between sulforaphane and placebo groups. However, clinician rated…
Descriptors: Drug Therapy, Outcomes of Treatment, Autism Spectrum Disorders, Randomized Controlled Trials
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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
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Norman Porticella; Julie S. Cannon; Chung Li Wu; Stuart G. Ferguson; James F. Thrasher; Emily E. Hackworth; Jeff Niederdeppe – Health Education & Behavior, 2024
Underrepresentation of historically marginalized populations in clinical trials continues to threaten the validity of health intervention research. Evidence supports the merits of intercept and other proactive forms of recruitment for achieving more equitable representation. However, researchers also report lower retention and adherence to…
Descriptors: Recruitment, Disproportionate Representation, Medical Research, Compliance (Psychology)
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Laura J. Bonnett; Kerry Dwan; Susanna Dodd – Teaching Statistics: An International Journal for Teachers, 2024
We describe an activity that introduces school-aged children to clinical trials, that presents the terminology associated with randomized controlled trials, and that reveals how the findings from clinical trials are applicable to everyone everywhere.
Descriptors: Elementary School Students, Secondary School Students, Children, Clinical Experience
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Jordan Rickles; Margaret Clements; Iliana Brodziak de los Reyes; Mark Lachowicz; Shuqiong Lin; Jessica Heppen – Journal of Research on Educational Effectiveness, 2024
Online credit recovery will likely expand in the coming years as school districts try to address increased course failure rates brought on by the coronavirus pandemic. Some researchers and policymakers, however, raise concerns over how much students learn in online courses, and there is limited evidence about the effectiveness of online credit…
Descriptors: Online Courses, Electronic Learning, Repetition, Required Courses
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Friberg, Jennifer; Hoepner, Jerry K.; Sauerwein, Allison M.; Mandulak, Kerry – Teaching and Learning in Communication Sciences & Disorders, 2023
McKinney (2018) has argued that for the scholarship of teaching and learning (SoTL) to advance within a discipline, the integration of SoTL must be closely examined and opportunities for growth in SoTL must be recognized and discussed. To that end, this paper reflects on the degree to which SoTL is integrated into communication sciences and…
Descriptors: Scholarship, Instruction, Learning, Communication Disorders
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
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