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Direct linkReagan 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
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
Charles Weijer – Research Ethics, 2024
The COVID-19 pandemic touched off an unprecedented search for vaccines and treatments. Without question, the development of vaccines to prevent COVID-19 was an enormous scientific accomplishment. Further, the RECOVERY and Solidarity trials identified effective treatments for COVID-19. But all was not success. The urgent need for COVID-19…
Descriptors: COVID-19, Pandemics, Immunization Programs, Research and Development
Paul Thompson; Kaydee Owen; Richard P. Hastings – International Journal of Research & Method in Education, 2024
Traditionally, cluster randomized controlled trials are analyzed with the average intervention effect of interest. However, in populations that contain higher degrees of heterogeneity or variation may differ across different values of a covariate, which may not be optimal. Within education and social science contexts, exploring the variation in…
Descriptors: Randomized Controlled Trials, Intervention, Mathematics Education, Mathematics Skills
Emma Law; Isabel Smith – Research Ethics, 2024
During the COVID-19 pandemic, the race to find an effective vaccine or treatment saw an 'extraordinary number' of clinical trials being conducted. While there were some key success stories, not all trials produced results that informed patient care. There was a significant amount of waste in clinical research during the pandemic which is said to…
Descriptors: Ethics, Research Methodology, Integrity, COVID-19
Bulus, Metin; Dong, Nianbo – Journal of Experimental Education, 2021
Sample size determination in multilevel randomized trials (MRTs) and multilevel regression discontinuity designs (MRDDs) can be complicated due to multilevel structure, monetary restrictions, differing marginal costs per treatment and control units, and range restrictions in sample size at one or more levels. These issues have sparked a set of…
Descriptors: Sampling, Research Methodology, Costs, Research Design
Download full textSales, 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
Kelly Hallberg; Andrew Swanlund; Ryan Williams – Society for Research on Educational Effectiveness, 2021
Background: The COVID-19 pandemic and the subsequent public health response led to an unprecedented disruption in educational instruction in the U.S. and around the world. Many schools quickly moved to virtual learning for the bulk of the 2020 spring term and many states cancelled annual assessments of student learning. The 2020-21 school year…
Descriptors: Research Problems, Educational Research, Research Design, Randomized Controlled Trials
Pashley, Nicole E.; Miratrix, Luke W. – Journal of Educational and Behavioral Statistics, 2021
Evaluating blocked randomized experiments from a potential outcomes perspective has two primary branches of work. The first focuses on larger blocks, with multiple treatment and control units in each block. The second focuses on matched pairs, with a single treatment and control unit in each block. These literatures not only provide different…
Descriptors: Causal Models, Statistical Inference, Research Methodology, Computation
Dora Gicheva; Julie Edmunds; Beth Thrift; Marie Hull; Jeremy Bray – Sage Research Methods Cases, 2020
Our research team worked with Wake Technical Community College to evaluate an intervention to redesign the delivery of a set of introductory online courses. To obtain unbiased estimates of the treatment effects of the intervention, we conducted a randomized control trial in which students who enrolled in the study courses were assigned randomly to…
Descriptors: Randomized Controlled Trials, Educational Research, Electronic Learning, Introductory Courses
Wang, Mei; Sun, Guangwen; Chang, Yaping; Jin, Yanling; Leenus, Alvin; Maaz, Muhammad; Li, Guowei; Bhatt, Meha; Abbade, Luciana P. F.; Nwosu, Ikunna; Zielinski, Laura; Sanger, Nitika; Bantoto, Bianca; Luo, Candice; Shams, Ieta; Shahid, Hamnah; Adachi, Jonathan; Mbuagbaw, Lawrence; Levine, Mitchell; Samaan, Zainab; Thabane, Lehana – Research on Social Work Practice, 2018
Behavioral and social sciences randomized controlled trials (BSSTs) have a significant role in life sciences. Choosing an appropriate control or comparator group for BSSTs is critical, to provide true intervention effects. The objective of this study was to determine the types of control groups used in BSSTs, and the rationale provided to justify…
Descriptors: Randomized Controlled Trials, Databases, Behavioral Science Research, Social Science Research
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
Sean Demack – Education Endowment Foundation, 2019
Cluster Randomized Trial (CRT) designs are inherently multilevel and reflect the hierarchical structure of schools and the wider education system. To capture this multilevel nature, CRTs are commonly analysed using multilevel (or hierarchical) linear models. It is fairly common for CRT designs and analyses to include school and individual/pupil…
Descriptors: Educational Research, Randomized Controlled Trials, Research Design, Hierarchical Linear Modeling
Hallberg, Kelly; Williams, Ryan; Swanlund, Andrew – Journal of Research on Educational Effectiveness, 2020
More aggregate data on school performance is available than ever before, opening up new possibilities for applied researchers interested in assessing the effectiveness of school-level interventions quickly and at a relatively low cost by implementing comparative interrupted times series (CITS) designs. We examine the extent to which effect…
Descriptors: Data Use, Research Methodology, Program Effectiveness, Design
Pashley, Nicole E.; Miratrix, Luke W. – Grantee Submission, 2019
In the causal inference literature, evaluating blocking from a potential outcomes perspective has two main branches of work. The first focuses on larger blocks, with multiple treatment and control units in each block. The second focuses on matched pairs, with a single treatment and control unit in each block. These literatures not only provide…
Descriptors: Causal Models, Statistical Inference, Research Methodology, Computation
