Multivariate Meta-Analysis as Structural Equation Models
By Mike W.-L. Cheung. 2013
104 citations recorded by the source corpus.
Subfields: Public Health, Environmental and Occupational Health, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/0eefc240e1e5b9f8a3d8109be4de780960a5f947
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Public Health, Environmental and Occupational Health
- J. Polanin
- E. Hennessy
- E. Tanner‐Smith
- J. Kirby
- Cassandra L. Tellegen
- J. Day
- M. Sanders
- Mike W.-L. Cheung
In Statistics and Probability
- J. Polanin
- E. Hennessy
- E. Tanner‐Smith
- J. Kirby
- Cassandra L. Tellegen
- M. Sanders
- J. Day
- Mike W.-L. Cheung
Citations in the corpus
- The Triple P-Positive Parenting Program: a systematic review and meta-analysis of a multi-level system of parenting support. (2014, methodology): “A multi-variate meta-analysis looking at all outcomes concurrently was not conducted because accurate estimates of the population correlations between categories to compute covariances between effect sizes were not able to be obtained (Cheung, 2013; Gleser & Olkin, 2007).”
- A Meta-Analysis of Compassion-Based Interventions: Current State of Knowledge and Future Directions. (2017, unknown): “A multivariate meta-analysis looking at all outcomes concurrently was not conducted because we were not able to obtain accurate estimates of the population correlations between categories to compute covariances between effect sizes (Cheung, 2013; Gleser & Olkin, 2007).”
- Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach. (2014, methodology): “…multivariate meta-analyses (M. W.-L. Cheung, 2008, in press), whereas reml() implements the same analysis using the REML estimation method (M. W.-L. Cheung, 2013). tssem1() and tssem2() conduct meta-analytic structural equation modeling using the two-stage SEM approach (M. W.-L. Cheung & Chan,…”
- Estimating the Difference Between Published and Unpublished Effect Sizes (2016, methodology): “Model fit was assessed using an adjusted R2 (Cheung, 2013).”
- A Guide to Conducting a Meta-Analysis with Non-Independent Effect Sizes (2019, methodology): “A multivariate meta-analysis is generally recommended for handling multivariate effect sizes (e.g., Cheung, 2013; Hedges & Olkin, 1985; Nam, Mengersen, & Garthwaite, 2003; Raudenbush et al., 1988; Jackson, Riley, & White, 2011).”