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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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Heining Cham; Hyunjung Lee; Igor Migunov – Asia Pacific Education Review, 2024
The randomized control trial (RCT) is the primary experimental design in education research due to its strong internal validity for causal inference. However, in situations where RCTs are not feasible or ethical, quasi-experiments are alternatives to establish causal inference. This paper serves as an introduction to several quasi-experimental…
Descriptors: Causal Models, Educational Research, Quasiexperimental Design, Research Design
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Brown, Seth; Song, Mengli; Cook, Thomas D.; Garet, Michael S. – American Educational Research Journal, 2023
This study examined bias reduction in the eight nonequivalent comparison group designs (NECGDs) that result from combining (a) choice of a local versus non-local comparison group, and analytic use or not of (b) a pretest measure of the study outcome and (c) a rich set of other covariates. Bias was estimated as the difference in causal estimate…
Descriptors: Research Design, Pretests Posttests, Computation, Bias
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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
Luke Keele; Matthew A. Lenard; Lindsay C. Page – Annenberg Institute for School Reform at Brown University, 2020
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 non-randomly allocated, outcomes across the treated and control groups may differ due to the…
Descriptors: Observation, Educational Research, Regression (Statistics), Multivariate Analysis
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Toste, Jessica R.; Logan, Jessica A. R.; Shogren, Karrie A.; Boyd, Brian A. – Exceptional Children, 2023
Group design research studies can provide evidence to draw conclusions about "what works," "for whom," and "under what conditions" in special education. The quality indicators introduced by Gersten and colleagues (2005) have contributed to increased rigor in group design research, which has provided substantial…
Descriptors: Research Design, Educational Research, Special Education, Educational Indicators
Reyes, Marcela; Willett, Terrence; Brohawn, Katie; Nguyen, Alyssa – RP Group, 2022
The California Community Colleges (CCC) launched Extended Opportunity Programs and Services (EOPS) after the passage of SB164 (1969). Colleges leverage their EOPS funding to offer academic, career, and personal counseling; financial resources; and services "over and above" traditional campus supports. This latest research builds on the…
Descriptors: Community Colleges, Academic Achievement, Outcomes of Education, Disadvantaged
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Mark Fredrickson; Ben B. Hansen – Society for Research on Educational Effectiveness, 2021
Context: Assessments of baseline equivalency of intervention and control groups, "balance," play a critical role in evaluating educational interventions. The highest What Works Clearinghouse (WWC) of the Institute of Educational Studies (IES) standard for educational studies, "Meets WWC Design Standards Without Reservations,"…
Descriptors: Educational Research, Experimental Groups, Control Groups, Intervention
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Double, Kit S.; McGrane, Joshua A.; Hopfenbeck, Therese N. – Educational Psychology Review, 2020
Peer assessment has been the subject of considerable research interest over the last three decades, with numerous educational researchers advocating for the integration of peer assessment into schools and instructional practice. Research synthesis in this area has, however, largely relied on narrative reviews to evaluate the efficacy of peer…
Descriptors: Peer Evaluation, Academic Achievement, Educational Research, Control Groups
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Bertacchini, Francesca; Bilotta, Eleonora; Caldarola, Fabio; Pantano, Pietro – International Journal of Mathematical Education in Science and Technology, 2019
We present the results of an experimental project, made at the University of Calabria, which uses computer simulations and scientific computational systems in teaching and learning the fundamentals of analytic mechanics, in particular the classical Lagrangian and Hamiltonian formulation of the matter. Starting with examples of classical dynamical…
Descriptors: Role, Computer Simulation, Foreign Countries, Experimental Groups
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What Works Clearinghouse, 2017
An aspect of a study is considered a confounding factor if it is not possible to tell whether the difference in outcomes is due to the intervention, the confounding factor, or both. In What Works Clearinghouse (WWC) study reviews, certified reviewers look for a specific type of confounding factor: those that occur when a component of the study…
Descriptors: Research Methodology, Intervention, Control Groups, Experimental Groups
Lu, Jiannan; Ding, Peng; Dasgupta, Tirthankar – Journal of Educational and Behavioral Statistics, 2018
Assessing the causal effects of interventions on ordinal outcomes is an important objective of many educational and behavioral studies. Under the potential outcomes framework, we can define causal effects as comparisons between the potential outcomes under treatment and control. However, unfortunately, the average causal effect, often the…
Descriptors: Outcomes of Treatment, Mathematical Applications, Probability, Behavioral Science Research
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What Works Clearinghouse, 2017
"Attrition" is the loss of sample during the course of a study. It occurs when individuals initially randomly assigned in a study are not included when researchers examine the outcome of interest. Attrition is a common issue in education research, and it occurs for many reasons. The What Works Clearinghouse (WWC) is an initiative of the…
Descriptors: Attrition (Research Studies), Control Groups, Experimental Groups, Randomized Controlled Trials
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McKay, Michael T.; Sumnall, Harry R.; Harvey, Séamus A.; Cole, Jon C. – Drugs: Education, Prevention & Policy, 2018
The present study sought the views of stakeholders, including school leaders and statutory stakeholders, on the content and evaluation of a classroom-based alcohol education intervention in a Randomised Controlled Trial in Scotland and Northern Ireland. Purposive sampling was used to ensure that schools from both the Intervention and Control…
Descriptors: Alcohol Education, Course Content, Intervention, Foreign Countries
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Simpson, Adrian – British Educational Research Journal, 2018
Much of the evidential basis for recent policy decisions is grounded in effect size: the standardised mean difference in outcome scores between a study's intervention and comparison groups. This is interpreted as measuring educational influence, importance or effectiveness of the intervention. This article shows this is a category error at two…
Descriptors: Evidence Based Practice, Teaching Methods, Intervention, Educational Policy
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