Publication Date
In 2025 | 0 |
Since 2024 | 2 |
Since 2021 (last 5 years) | 2 |
Since 2016 (last 10 years) | 9 |
Since 2006 (last 20 years) | 9 |
Descriptor
Source
Educational Research and… | 2 |
Grantee Submission | 2 |
Educational Researcher | 1 |
Journal of Research on… | 1 |
New Directions for Child and… | 1 |
Research Synthesis Methods | 1 |
Review of Research in… | 1 |
Author
Larry V. Hedges | 2 |
Simpson, Adrian | 2 |
Ahn, Jee Bin | 1 |
Cartwright, Nancy | 1 |
Chang Xu | 1 |
Cook, Thomas D. | 1 |
Gopalan, Maithreyi | 1 |
Joey S. W. Kwong | 1 |
Kenneth A. Frank | 1 |
Lifeng Lin | 1 |
Luis Furuya-Kanamori | 1 |
More ▼ |
Publication Type
Reports - Evaluative | 9 |
Journal Articles | 7 |
Speeches/Meeting Papers | 1 |
Education Level
Early Childhood Education | 1 |
Elementary Secondary Education | 1 |
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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

Kenneth A. Frank; Qinyun Lin; Spiro J. Maroulis – Grantee Submission, 2024
In the complex world of educational policy, causal inferences will be debated. As we review non-experimental designs in educational policy, we focus on how to clarify and focus the terms of debate. We begin by presenting the potential outcomes/counterfactual framework and then describe approximations to the counterfactual generated from the…
Descriptors: Causal Models, Statistical Inference, Observation, Educational Policy
Wadhwa, Mansi; Cook, Thomas D. – New Directions for Child and Adolescent Development, 2019
This chapter highlights the key assumptions underlying Randomized Control Trials (RCTs) and illustrates them with regard to the practice of RCTs in the realm of child and adolescent development. Given the prominence of RCTs in policy research, we analyze the possible ways in which these assumptions might not be met by single randomized…
Descriptors: Randomized Controlled Trials, Evidence Based Practice, Child Development, Adolescent Development
Cartwright, Nancy – Educational Research and Evaluation, 2019
Across the evidence-based policy and practice (EBPP) community, including education, randomised controlled trials (RCTS) rank as the most "rigorous" evidence for causal conclusions. This paper argues that that is misleading. Only narrow conclusions about study populations can be warranted with the kind of "rigour" that RCTs…
Descriptors: Evidence Based Practice, Educational Policy, Randomized Controlled Trials, Error of Measurement
Larry V. Hedges – Journal of Research on Educational Effectiveness, 2018
The scientific rigor of education research has improved dramatically since the year 2000. Much of the credit for this improvement is deserved by Institute of Education Sciences (IES) policies that helped create a demand for rigorous research; increased human capital capacity to carry out such work; provided funding for the work itself; and…
Descriptors: Educational Research, Generalization, Intervention, Human Capital
Simpson, Adrian – Educational Researcher, 2019
A recent paper uses Bayes factors to argue a large minority of rigorous, large-scale education RCTs are "uninformative." The definition of "uninformative" depends on the authors' hypothesis choices for calculating Bayes factors. These arguably overadjust for effect size inflation and involve a fixed prior distribution,…
Descriptors: Randomized Controlled Trials, Bayesian Statistics, Educational Research, Program Evaluation
Simpson, Adrian – Educational Research and Evaluation, 2018
Ainsworth et al.'s paper "Sources of Bias in Outcome Assessment in Randomised Controlled Trials: A Case Study" examines alternative accounts for a large difference in effect size between 2 outcomes in the same intervention evaluation. It argues that the probable explanation relates to masking: Only one outcome measure was administered by…
Descriptors: Statistical Bias, Randomized Controlled Trials, Effect Size, Outcome Measures
Gopalan, Maithreyi; Rosinger, Kelly; Ahn, Jee Bin – Review of Research in Education, 2020
In the past few decades, we have seen a rapid proliferation in the use of quasi-experimental research designs in education research. This trend, stemming in part from the "credibility revolution" in the social sciences, particularly economics, is notable along with the increasing use of randomized controlled trials in the strive toward…
Descriptors: Educational Research, Quasiexperimental Design, Research Problems, Research Methodology
Larry V. Hedges – Grantee Submission, 2017
The scientific rigor of education research has improved dramatically since the year 2000. Much of the credit for this improvement is deserved by Institute of Education Sciences (IES) policies that helped create a demand for rigorous research; increased human capital capacity to carry out such work; provided funding for the work itself; and…
Descriptors: Educational Research, Generalization, Intervention, Human Capital