Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 3 |
| Since 2017 (last 10 years) | 3 |
| Since 2007 (last 20 years) | 5 |
Descriptor
| Matrices | 5 |
| Meta Analysis | 5 |
| Statistical Distributions | 3 |
| Computation | 2 |
| Correlation | 2 |
| Evidence | 2 |
| Structural Equation Models | 2 |
| Bias | 1 |
| Data | 1 |
| Error of Measurement | 1 |
| Etiology | 1 |
| More ▼ | |
Source
| Research Synthesis Methods | 5 |
Author
| Ahrens, Katherine A. | 1 |
| Barrett, Malcolm | 1 |
| Bryant, Allison S. | 1 |
| Collins, Gary S. | 1 |
| Ensor, Joie | 1 |
| Fox, Matthew P. | 1 |
| Furukawa, Toshi A. | 1 |
| Gadupudi, Salini | 1 |
| Gosho, Masahiko | 1 |
| Hamura, Yasuyuki | 1 |
| Hattle, Miriam | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Descriptive | 2 |
| Reports - Research | 2 |
| Reports - Evaluative | 1 |
Education Level
Audience
Location
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Peer reviewed
Direct linkPetersen, Julie M.; Barrett, Malcolm; Ahrens, Katherine A.; Murray, Eleanor J.; Bryant, Allison S.; Hogue, Carol J.; Mumford, Sunni L.; Gadupudi, Salini; Fox, Matthew P.; Trinquart, Ludovic – Research Synthesis Methods, 2022
Systematic reviews and meta-analyses are essential for drawing conclusions regarding etiologic associations between exposures or interventions and health outcomes. Observational studies comprise a substantive source of the evidence base. One major threat to their validity is residual confounding, which may occur when component studies adjust for…
Descriptors: Bias, Meta Analysis, Etiology, Intervention
Noma, Hisashi; Hamura, Yasuyuki; Gosho, Masahiko; Furukawa, Toshi A. – Research Synthesis Methods, 2023
Network meta-analysis has been an essential methodology of systematic reviews for comparative effectiveness research. The restricted maximum likelihood (REML) method is one of the current standard inference methods for multivariate, contrast-based meta-analysis models, but recent studies have revealed the resultant confidence intervals of average…
Descriptors: Network Analysis, Meta Analysis, Regression (Statistics), Error of Measurement
Riley, Richard D.; Collins, Gary S.; Hattle, Miriam; Whittle, Rebecca; Ensor, Joie – Research Synthesis Methods, 2023
Before embarking on an individual participant data meta-analysis (IPDMA) project, researchers should consider the power of their planned IPDMA conditional on the studies promising their IPD and their characteristics. Such power estimates help inform whether the IPDMA project is worth the time and funding investment, before IPD are collected. Here,…
Descriptors: Computation, Meta Analysis, Participant Characteristics, Data
Hedges, Larry V. – Research Synthesis Methods, 2016
Structural equation models play an important role in the social sciences. Consequently, there is an increasing use of meta-analytic methods to combine evidence from studies that estimate the parameters of structural equation models. Two approaches are used to combine evidence from structural equation models: A direct approach that combines…
Descriptors: Meta Analysis, Structural Equation Models, Social Science Research, Research Methodology
Oort, Frans J.; Jak, Suzanne – Research Synthesis Methods, 2016
Meta-analytic structural equation modeling (MASEM) involves fitting models to a common population correlation matrix that is estimated on the basis of correlation coefficients that are reported by a number of independent studies. MASEM typically consist of two stages. The method that has been found to perform best in terms of statistical…
Descriptors: Maximum Likelihood Statistics, Meta Analysis, Structural Equation Models, Correlation
