Introduction | Structural equation modeling based meta-analysis | Meta-analytic structural equation modeling | Illustrations with R | Conclusion

The metaSEM package: Examples | Introduction | Univariate meta-analysis | Random-effects model | Fixed-effects model | Mixed-effects model | Handling missing covariates with FIML | Multivariate meta-analysis | Three-level meta-analysis | Comparisons between two- and three-level models with Cooper et al.’s (2003) dataset | More complex 3-level meta-analyses with Bornmann et al.’s (2007) dataset | Inspecting the data | Model 0: Intercept | Model 1: Type as a covariate | Model 2: Year and Year^2 as covariates | Model 3: Discipline as a covariate | Model 4: Country as a covariate | Model 5: Type and Discipline as covariates | Model 6: Type and Country as covariates | Model 7: Discipline and Country as covariates | Model 8: Type, Discipline, and Country as covariates | Two-stage structural equation modeling (TSSEM) | Inspect the data: Digman (1997) | Fixed-effects TSSEM | Fixed-effects TSSEM with cluster | Random-effects TSSEM | Becker and Schram (1994) | One-stage meta-analytic structural equation modeling (OSMASEM) | Nohe15 | Roorda11 | Scalco17 | Fitting an over-identified model | Installation and help | Potential issues with the OpenMx available at CRAN | Help