Publication Date
| In 2026 | 0 |
| Since 2025 | 2 |
| Since 2022 (last 5 years) | 11 |
| Since 2017 (last 10 years) | 49 |
| Since 2007 (last 20 years) | 133 |
Descriptor
| Mathematics Achievement | 133 |
| Randomized Controlled Trials | 133 |
| Program Effectiveness | 66 |
| Intervention | 55 |
| Mathematics Instruction | 53 |
| Statistical Analysis | 53 |
| Foreign Countries | 43 |
| Comparative Analysis | 42 |
| Pretests Posttests | 41 |
| Reading Achievement | 39 |
| Elementary School Students | 35 |
| More ▼ | |
Source
Author
| Clarke, Ben | 6 |
| Fien, Hank | 6 |
| Burkander, Paul | 5 |
| Chiang, Hanley | 5 |
| Doabler, Christian T. | 5 |
| Garet, Michael S. | 5 |
| Hallgren, Kristin | 5 |
| Herrmann, Mariesa | 5 |
| Jerrim, John | 5 |
| Smolkowski, Keith | 5 |
| Song, Mengli | 5 |
| More ▼ | |
Publication Type
| Reports - Research | 126 |
| Journal Articles | 55 |
| Tests/Questionnaires | 14 |
| Numerical/Quantitative Data | 8 |
| Reports - Evaluative | 6 |
| Information Analyses | 4 |
| Speeches/Meeting Papers | 2 |
Education Level
Audience
Location
| United Kingdom (England) | 18 |
| Texas | 6 |
| California | 5 |
| Massachusetts | 5 |
| New York | 5 |
| New York (New York) | 5 |
| Oregon | 4 |
| Illinois | 3 |
| India | 3 |
| Louisiana | 3 |
| Massachusetts (Boston) | 3 |
| More ▼ | |
Laws, Policies, & Programs
| Every Student Succeeds Act… | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 9 |
| Meets WWC Standards with or without Reservations | 13 |
| Does not meet standards | 2 |
Wan, Sirui; Brick, Timothy R.; Alvarez-Vargas, Daniela; Bailey, Drew H. – Developmental Psychology, 2023
Plausible competing developmental models show similar or identical structural equation modeling model fit indices, despite making very different causal predictions. One way to help address this problem is incorporating outside information into selecting among models. This study attempted to select among developmental models of children's early…
Descriptors: Mathematics Skills, Early Intervention, Models, Randomized Controlled Trials
Ashraf, Bilal; Singh, Akansha; Uwimpuhwe, Germaine; Coolen-Maturi, Tahani; Einbeck, Jochen; Higgins, Steve; Kasim, Adetayo – Education Endowment Foundation, 2021
This study investigates the impact of Education Endowment Foundation (EEF)-funded trials on pupils eligible for free school meals. Although similar analysis is conducted during each individual evaluation, this report conducts a meta-analysis using data from 88 trials and over half a million pupils to reach conclusions. The report contributes to…
Descriptors: Lunch Programs, Eligibility, Mathematics Achievement, Literacy
Akansha Singh; Germaine Uwimpuhwe; Dimitrios Vallis; Nasima Akhter; Tahani Coolen-Maturi; Steve Higgins; Jochen Einbeck; Martin Culliney; Sean Demack – Education Endowment Foundation, 2023
The aim of this study was to investigate and empirically derive parameters commonly used for statistical power and sample size calculations to better inform future trial design. Towards achieving this aim, the research project leveraged the richness of the National Pupil Database (NPD) and the Education Endowment Foundation (EEF) Archive to: (1)…
Descriptors: Foreign Countries, Statistical Analysis, Sample Size, Educational Research
Benjamin K. Master; Heather Schwartz; Fatih Unlu; Jonathan Schweig; Louis T. Mariano; Jessie Coe; Elaine Lin Wang; Brian Phillips; Tiffany Berglund – Educational Evaluation and Policy Analysis, 2022
Principals are the second-largest school-based contributor to K-12 students' academic progress. However, there is little research evaluating whether efforts to develop principals' skills improve school effectiveness. We conducted randomized controlled trial studies of the impacts of a professional development program called the Executive…
Descriptors: Principals, Management Development, Skill Development, School Effectiveness
Chun-Wei Huang; Linlin Li; Mingyu Feng – Society for Research on Educational Effectiveness, 2025
Background: An efficacy study based on a randomized controlled trial (RCT) was designed to evaluate the impact of ASSISTments on math learning among middle school students, including those from high-needs rural schools. Despite extensive recruitment efforts in 2021 (during the pandemic), only a few schools and their teachers agreed to participate,…
Descriptors: Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students
Chun-Wei Huang; Mingyu Feng; Linlin Li – WestEd, 2025
This is a technical report detailing the analytic methods used to assess the effects of a virtual professional learning community (vPLC)-enhanced ASSISTments intervention. The report uses a quasi-experimental design and partially nested regression model to account for clustering and reveals that while overall effects were positive but not…
Descriptors: Educational Technology, Feedback (Response), Formative Evaluation, Middle School Students
Douglas, Daniel; Logue, Alexandra W.; Watanabe-Rose, Mari – Educational Researcher, 2023
Community colleges are essential for United States higher education, but their students have low retention and graduation rates. Community college students assigned to mathematics remediation are particularly unlikely to graduate. Corequisite remediation (college-level coursework with additional support) has shown short-term increased student…
Descriptors: Community Colleges, College Mathematics, Remedial Mathematics, Community College Students
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – International Educational Data Mining Society, 2024
The gold-standard for evaluating the effect of an educational intervention on student outcomes is running a randomized controlled trial (RCT). However, RCTs may often be small due to logistical considerations, and resulting treatment effect estimates may lack precision. Recent methods improve experimental precision by incorporating information…
Descriptors: Intervention, Outcomes of Education, Randomized Controlled Trials, Data Use
Fuchs, Lynn S.; Seethaler, Pamela M.; Fuchs, Douglas; Espinas, Daniel – Journal of Learning Disabilities, 2023
Analyses were conducted with second graders, drawn from an ongoing multi-cohort randomized controlled trial (RCT), who had been identified for RCT entry based on comorbid reading comprehension and word-problem solving difficulty. To estimate pandemic learning loss, we contrasted fall performance for 3 cohorts: fall of 2019 (pre-pandemic; n = 47),…
Descriptors: Grade 2, COVID-19, Pandemics, Achievement Gains
Isaac M. Opper – Annenberg Institute for School Reform at Brown University, 2021
Researchers often include covariates when they analyze the results of randomized controlled trials (RCTs), valuing the increased precision of the estimates over the potential of inducing small-sample bias when doing so. In this paper, we develop a sufficient condition which ensures that the inclusion of covariates does not cause small-sample bias…
Descriptors: Randomized Controlled Trials, Sample Size, Statistical Bias, Artificial Intelligence
Caroline Botvin; Tyler Watts; Jade Jenkins; Robert Carr; Kenneth Dodge; Douglas Clements; Julie Sarama – Society for Research on Educational Effectiveness, 2022
Background/Context: Early childhood education research has consistently found evidence of immediate, positive effects on developmental outcomes. Despite these strong initial benefits, follow-up analyses often reveal that these effects fadeout in the years following participation (e.g., Bailey et al., 2017, Clements et al., 2013; Lipsey et al.…
Descriptors: Preschool Education, Mathematics Education, Mathematics Curriculum, Randomized Controlled Trials
Zuchao Shen; Chris Curran; You You; Joni Splett; Huibin Zhang – Society for Research on Educational Effectiveness, 2021
Purpose: Key considerations in designing multilevel experimental studies are to efficiently use resources and to determine the sample size allocation such that designs have adequate statistical power. The utility of optimal sampling and power analysis results depends on accurate information about design parameters, such as intraclass correlations…
Descriptors: Correlation, Teacher Empowerment, Academic Achievement, Outcomes of Education
Citkowicz, Martyna; Lindsay, Jim; Miller, David; Williams, Ryan – Society for Research on Educational Effectiveness, 2020
Many public and private initiatives have focused on improving prekindergarten (PK) through Grade 12 mathematics education, given that the mathematics content learned before college is foundational for later learning and college success across STEM subjects. Although decades of educational research have studied PK-12 mathematics interventions, the…
Descriptors: Intervention, Mathematics Instruction, Meta Analysis, Comparative Analysis
Prediger, Susanne; Erath, Kirstin; Weinert, Henrike; Quabeck, Kim – Journal for Research in Mathematics Education, 2022
Empirical evidence exists that enhancing students' language can promote the mathematics learning of multilingual students at risk, whereas other target groups (e.g., monolingual students, successful students, both with diverse academic language proficiency) have hardly been considered. This cluster-randomized controlled trial (N = 589)…
Descriptors: Language Usage, Mathematics Instruction, Randomized Controlled Trials, Multilingualism

Peer reviewed
Direct link
