NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 8 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Céline Chapelle; Gwénaël Le Teuff; Paul Jacques Zufferey; Silvy Laporte; Edouard Ollier – Research Synthesis Methods, 2024
The number of meta-analyses of aggregate data has dramatically increased due to the facility of obtaining data from publications and the development of free, easy-to-use, and specialised statistical software. Even when meta-analyses include the same studies, their results may vary owing to different methodological choices. Assessment of the…
Descriptors: Meta Analysis, Replication (Evaluation), Data Analysis, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Maxi Schulz; Malte Kramer; Oliver Kuss; Tim Mathes – Research Synthesis Methods, 2024
In sparse data meta-analyses (with few trials or zero events), conventional methods may distort results. Although better-performing one-stage methods have become available in recent years, their implementation remains limited in practice. This study examines the impact of using conventional methods compared to one-stage models by re-analysing…
Descriptors: Meta Analysis, Data Analysis, Research Methodology, Research Problems
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Jihyun; Beretvas, S. Natasha – Research Synthesis Methods, 2023
Meta-analysts often encounter missing covariate values when estimating meta-regression models. In practice, ad hoc approaches involving data deletion have been widely used. The current study investigates the performance of different methods for handling missing covariates in meta-regression, including complete-case analysis (CCA), shifting-case…
Descriptors: Comparative Analysis, Research Methodology, Regression (Statistics), Meta Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Lennert J. Groot; Kees-Jan Kan; Suzanne Jak – Research Synthesis Methods, 2024
Researchers may have at their disposal the raw data of the studies they wish to meta-analyze. The goal of this study is to identify, illustrate, and compare a range of possible analysis options for researchers to whom raw data are available, wanting to fit a structural equation model (SEM) to these data. This study illustrates techniques that…
Descriptors: Meta Analysis, Structural Equation Models, Research Methodology, Data Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Lauren Maxwell; Priya Shreedhar; Mabel Carabali; Brooke Levis – Research Synthesis Methods, 2024
Individual participant data meta-analyses (IPD-MAs) have several benefits over standard aggregate data meta-analyses, including the consideration of additional participants, follow-up time, and the joint consideration of study- and participant-level heterogeneity for improved diagnostic and prognostic model development and evaluation. However,…
Descriptors: Research Methodology, Authors, Guides, Budgets
Peer reviewed Peer reviewed
Direct linkDirect link
Carr, Tracey; Quinlan, Elizabeth; Robertson, Susan; Gerrard, Angie – Research Synthesis Methods, 2017
Realist synthesis techniques can be used to assess complex interventions by extracting and synthesizing configurations of contexts, mechanisms, and outcomes found in the literature. Our novel and multi-pronged approach to the realist synthesis of workplace harassment interventions describes our pursuit of theory to link macro and program level…
Descriptors: Intervention, Work Environment, Bullying, Research Methodology
Peer reviewed Peer reviewed
Direct linkDirect link
Spineli, Loukia M.; Pandis, Nikolaos; Salanti, Georgia – Research Synthesis Methods, 2015
Objectives: The purpose of the study was to provide empirical evidence about the reporting of methodology to address missing outcome data and the acknowledgement of their impact in Cochrane systematic reviews in the mental health field. Methods: Systematic reviews published in the Cochrane Database of Systematic Reviews after January 1, 2009 by…
Descriptors: Mental Health, Literature Reviews, Data Analysis, Meta Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Yu, Winifred W.; Schmid, Christopher H.; Lichtenstein, Alice H.; Lau, Joseph; Trikalinos, Thomas A. – Research Synthesis Methods, 2013
The objective of this study is to empirically compare alternative meta-analytic methods for combining dose-response data from epidemiological studies. We identified meta-analyses of epidemiological studies that analyzed the association between a single nutrient and a dichotomous outcome. For each topic, we performed meta-analyses of odds ratios…
Descriptors: Comparative Analysis, Meta Analysis, Research Methodology, Nutrition