Modeling dependent effect sizes with three-level meta-analyses: a structural equation modeling approach.

By Mike W.-L. Cheung. Psychological methods, 2014

1,117 citations recorded by the source corpus.

Subfields: Applied Psychology, Management Science and Operations Research, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/80381b0d516d07e42e308f983624bffd497b1d9b

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Citations in the corpus

A Meta-Analysis of Interpersonal and Organizational Workplace Deviance Research (2019, methodology): “…variables.1 Although other methods of modeling nonindependent effect sizes in meta-analyses are useful (e.g., three-level meta-analyses in structural equation models; Cheung, 2014), our use of Mosier’s equation is consistent with the traditional application of Hunter and Schmidt’s (2004) method.”
When combinations of humans and AI are useful: A systematic review and meta-analysis (2024, positive): “We thus adopted a three-level meta-analytic model in which effect sizes are nested within experiments, so we explicitly took the dependencies in our data into account in the model 63,64 .”
Mindfulness as Attention Training: Meta-Analyses on the Links Between Attention Performance and Mindfulness Interventions, Long-Term Meditation Practice, and Trait Mindfulness (2020, methodology): “Threelevel meta-analysis (Cheung 2014) was used for all analyses, with the exception of the analyses of publication bias, which were run using the two-levelmetafor package for R, because no three-level implementation for these analyses exists.”
Shared Book Reading Interventions With English Learners: A Meta-Analysis (2018, methodology): “The limited reporting of correlations also restricted the use of more precise statistical models to compute effect size estimates (Cheung, 2014; Tanner-Smith & Tipton, 2014).”
Foster care placement instability: A meta-analytic review (2019, methodology): “The sampling variance of observed effect sizes (Level 1) was estimated by using the formula of Cheung (2014).”
Classroom climate and children’s academic and psychological wellbeing: A systematic review and meta-analysis (2020, methodology): “This integrated modeling approach provides additional methodological advantages, such as flexible parameter constraints, a greater accuracy for confidence intervals, and the use of full information maximum likelihood for handling missing covariates (Cheung, 2009, 2014).”
Spearman's law of diminishing returns. A meta-analysis (2017, methodology): “A three-level multilevel meta-analysis was applied to consider the variance between articles τs2, the variance between different effect sizes of the same article τw2 and the sampling variance τe2 (see e.g., Cheung, 2014, for multilevel meta-analysis).”
Fitting three-level meta-analytic models in R: A step-by-step tutorial (2016, methodology): “Applying a three-level structure to a meta-analytic model (Cheung, 2014; Hox, 2010; Van den Noortgate et al., 2013, 2014) is a better approach for dealing with dependency of effect sizes than the methods just mentioned.”
Methods for dealing with multiple outcomes in meta-analysis: a comparison between averaging effect sizes, robust variance estimation and multilevel meta-analysis (2017, methodology): “Also when there are multiple outcomes in a study, a multilevel meta-analysis can be used (Cheung, 2014; Konstantopoulos, 2011; Van den Noortgate et al., 2013, 2015).”
metaSEM: an R package for meta-analysis using structural equation modeling (2015, methodology): “It formulates univariate, multivariate, and three-level meta-analytic models as structural equation models (Cheung, 2008, 2013b, 2014c, in press) via the OpenMx package (Boker et al., 2011).”
The Relation Between Family Socioeconomic Status and Academic Achievement in China: A Meta-analysis (2019, methodology): “There are two major ways to handle the resulting within-cluster “multiple-outcome” dependencies, such as by using a multilevel random model (e.g., Cheung 2014; Van den Noortgate et al. 2013) and robust variance estimation (Hedges et al. 2010).”
The effectiveness of celebrity endorsements: a meta-analysis (2016, methodology): “The same deficits apply to shifting the unit of analysis (Cheung 2014).”