Meta-Analysis: A Structural Equation Modeling Approach

List of figures

1.1	Publications using meta-analysis and structural equation modeling. (a) Actual number of publications per year and (b) percentage of publications.
2.1	Two graphical model representations of a simple regression.
2.2	A path model with one mediator.
2.3	A confirmatory factor analytic model.
2.4	A structural equation model.
2.5	A latent growth model.
2.6	A moderated mediation model. (a) Group 1 and (b) Group 2.
2.7	Relationship between a likelihood ratio and a Wald tests.
2.8	Binomial distribution with n = 10 and x = 8 (a) and n = 100 and x = 80 (b) and with solid lines (true log-likelihood) and dashed lines (quadratic approximation of log-likelihood).
2.9	A regression model with a phantom variable.
2.10	A regression model with and without a definition variable.
3.1	A structural equation model for repeated measures.
3.2	A structural equation model for multiple treatment study.
3.3	A structural equation model for multiple-endpoint study.
3.4	A structural equation model for a correlation matrix.
4.1	A model with one variable y.
4.2	Distributions of and a 50:50 mixture of and .
4.3	(a) Fixed-effects versus (b) random-effects meta-analyses.
4.4