Publication Date
In 2025 | 1 |
Since 2024 | 5 |
Descriptor
Meta Analysis | 5 |
Effect Size | 3 |
Benchmarking | 2 |
Computation | 2 |
Data Use | 2 |
Research Utilization | 2 |
Statistical Analysis | 2 |
Algorithms | 1 |
Citations (References) | 1 |
Educational Research | 1 |
Evaluation Methods | 1 |
More ▼ |
Source
Grantee Submission | 1 |
Journal of Educational and… | 1 |
Learning Disability Quarterly | 1 |
Research Synthesis Methods | 1 |
Society for Research on… | 1 |
Author
Elizabeth Tipton | 5 |
Kaitlyn G. Fitzgerald | 2 |
Gena Nelson | 1 |
Matthew Forte | 1 |
Soyoung Park | 1 |
Young Ri Lee | 1 |
Zhipeng Hou | 1 |
Publication Type
Reports - Research | 4 |
Journal Articles | 3 |
Information Analyses | 2 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Matthew Forte; Elizabeth Tipton – Society for Research on Educational Effectiveness, 2024
Background/Context: Over the past twenty plus years, the What Works Clearinghouse (WWC) has reviewed over 1,700 studies, cataloging effect sizes for 189 interventions. Some 56% of these interventions include results from multiple, independent studies; on average, these include results of [approximately]3 studies, though some include as many as 32…
Descriptors: Meta Analysis, Sampling, Effect Size, Models
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Journal of Educational and Behavioral Statistics, 2025
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
Kaitlyn G. Fitzgerald; Elizabeth Tipton – Grantee Submission, 2024
This article presents methods for using extant data to improve the properties of estimators of the standardized mean difference (SMD) effect size. Because samples recruited into education research studies are often more homogeneous than the populations of policy interest, the variation in educational outcomes can be smaller in these samples than…
Descriptors: Data Use, Computation, Effect Size, Meta Analysis
Soyoung Park; Young Ri Lee; Gena Nelson; Elizabeth Tipton – Learning Disability Quarterly, 2024
Meta-analysis methodology has evolved with the development of more robust statistical techniques; however, few reviews in special education have focused specifically on methodological rigor in meta-analyses. In this study, we examined 29 meta-analyses of mathematics interventions published from 2000 to 2022 to determine the extent to which…
Descriptors: Literature Reviews, Meta Analysis, Mathematics Education, Special Education
Zhipeng Hou; Elizabeth Tipton – Research Synthesis Methods, 2024
Literature screening is the process of identifying all relevant records from a pool of candidate paper records in systematic review, meta-analysis, and other research synthesis tasks. This process is time consuming, expensive, and prone to human error. Screening prioritization methods attempt to help reviewers identify most relevant records while…
Descriptors: Meta Analysis, Research Reports, Identification, Evaluation Methods