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Mourad El Karkri; Antonio Quesada; Marta Romero-Ariza – Review of Education, 2025
Until now, the conventional approach using two distinct groups, experimental and control, continues to dominate research, especially education research. Researchers, particularly those who are active in this domain, readily recognise this pattern when surveying literature. This article explores the use of the Solomon four-group design as a…
Descriptors: Educational Research, Research Methodology, Experimental Groups, Control Groups
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Melanie Arnold; Stacie Merritt; Kathryn Mears; Anna Bryan; Jane Bryce – Research Ethics, 2024
This article describes our efforts to screen and enrol clinical trial participants conscientiously in the COVID-19 pandemic setting. We present the standard screening and enrolment process prior to, and our process of adapting to, the pandemic. Our goal was to develop a way to screen and enrol people for clinical trials that was both equitable and…
Descriptors: COVID-19, Pandemics, Experimental Groups, Control Groups
Pashley, Nicole E.; Miratrix, Luke W. – Journal of Educational and Behavioral Statistics, 2022
Several branches of the potential outcome causal inference literature have discussed the merits of blocking versus complete randomization. Some have concluded it can never hurt the precision of estimates, and some have concluded it can hurt. In this article, we reconcile these apparently conflicting views, give a more thorough discussion of what…
Descriptors: Research Design, Experimental Groups, Control Groups, Sampling
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Larissa Henss; Martin Pinquart – European Journal of Psychology of Education, 2024
Although most individuals experience expectation violations in their educational years, individuals' coping strategies differ depending on situational and dispositional characteristics with potentially decisive influence on educational outcomes. As a situational characteristic, optimism bias indicates that individuals tend to update their…
Descriptors: Context Effect, Coping, Individual Characteristics, Bias
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Simon Šuster; Timothy Baldwin; Karin Verspoor – Research Synthesis Methods, 2024
Existing systems for automating the assessment of risk-of-bias (RoB) in medical studies are supervised approaches that require substantial training data to work well. However, recent revisions to RoB guidelines have resulted in a scarcity of available training data. In this study, we investigate the effectiveness of generative large language…
Descriptors: Medical Research, Safety, Experimental Groups, Control Groups
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Zur, Rebecca L. – Research Ethics, 2023
Pregnancy is a frequently applied exclusion criteria for many forms of research. Common justifications for this exclusion include the potential for teratogenicity, as well as the potential for physiologic changes in pregnancy to impact the research itself. The systematic exclusion of pregnant persons from clinical studies has created a significant…
Descriptors: Experimental Groups, Control Groups, Research Methodology, Pregnancy
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Triinu Kärbla; Krista Uibu; Mairi Männamaa – Literacy Research and Instruction, 2024
Strategy interventions have been found to support students' text comprehension, but little is known about the sustainability of these effects. This study examined short- and long-term effects of a strategy intervention on students' vocabulary and text comprehension at the literal, inferential and evaluative levels. A pretest, posttest, and…
Descriptors: Vocabulary Development, Intervention, Grade 6, Foreign Countries
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Song, Jieun; Dembo, Robert S.; DaWalt, Leann Smith; Ryff, Carol D.; Mailick, Marsha R. – American Journal on Intellectual and Developmental Disabilities, 2023
Developmental disabilities (DD) research has depended on volunteer and clinical samples, with limited racial/ethnic diversity. This study focused on improving diversity and retention in DD research. The sample included 225 parents with a child with DD and 4,002 parents without children with DD from diverse racial/ethnic groups, drawn from Midlife…
Descriptors: Minority Groups, Diversity, Longitudinal Studies, Developmental Disabilities
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Carly Hyde; Logan Shurtz; Nicole McDonald; Maria Pizzano; Charles A. Nelson; Elizabeth A. Thiele; Connie Kasar; Shafali Jeste – American Journal on Intellectual and Developmental Disabilities, 2025
Tuberous sclerosis complex (TSC) is a genetic condition characterized by both medical and neuropsychiatric diagnoses that emerge across the lifespan. As part of a clinical trial, caregivers of children with TSC were interviewed about their experiences navigating medical, school, and social services. Semistructured interviews (N = 20) with…
Descriptors: Genetic Disorders, Neuropsychology, Clinical Diagnosis, Control Groups
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Alqaidoom, Zainab; Nguyen, Phi-Yen; Awadh, Maryam; Page, Matthew J. – Research Synthesis Methods, 2023
Systematic reviewers are advised to search trials registers to minimise risk of reporting biases. However, there has been little research on the impact of searching trials registers on the results of meta-analyses. We aimed to evaluate the impact of searching clinical trials registers for systematic reviews of pharmaceutical or non-pharmaceutical…
Descriptors: Experimental Groups, Medical Research, Drug Therapy, Pharmacology
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Shifeng Liu; Florence T. Bourgeois; Claire Narang; Adam G. Dunn – Research Synthesis Methods, 2024
Searching for trials is a key task in systematic reviews and a focus of automation. Previous approaches required knowing examples of relevant trials in advance, and most methods are focused on published trial articles. To complement existing tools, we compared methods for finding relevant trial registrations given a International Prospective…
Descriptors: Artificial Intelligence, Medical Research, Experimental Groups, Control Groups
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Conor O. Chandler; Irina Proskorovsky – Research Synthesis Methods, 2024
In health technology assessment, matching-adjusted indirect comparison (MAIC) is the most common method for pairwise comparisons that control for imbalances in baseline characteristics across trials. One of the primary challenges in MAIC is the need to properly account for the additional uncertainty introduced by the matching process. Limited…
Descriptors: Predictor Variables, Influence of Technology, Evaluation Methods, Methods Research
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Na Yuan – Journal of Computer Assisted Learning, 2024
Background: In the modern music industry, AI music generators have gained particular importance. The use of AI greatly simplifies the creation of polyphony. In addition, it can increase student motivation and interest. Aims: This study focuses on the AI-assisted creation of polyphonic music. The purpose of this study is to determine how creating…
Descriptors: Artificial Intelligence, Motivation Techniques, Music Education, Technology Uses in Education
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Yin Kiong Hoh – American Biology Teacher, 2025
Stem cell therapy, a cutting-edge technology, aims to replace damaged cells with healthy ones. Stem cells possess the remarkable ability to multiply and differentiate into various cell types, making them ideal candidates for regenerative medicine. This therapy holds promise for treating a wide range of conditions and injuries. In this review, I…
Descriptors: Embryology, Biotechnology, Biomedicine, Cytology
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Luke Keele; Matthew Lenard; Lindsay Page – Journal of Research on Educational Effectiveness, 2021
Many interventions in education occur in settings where treatments are applied to groups. For example, a reading intervention may be implemented for all students in some schools and withheld from students in other schools. When such treatments are nonrandomly allocated, outcomes across the treated and control groups may differ due to the treatment…
Descriptors: Observation, Educational Research, Regression (Statistics), Multivariate Analysis
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