# Meta-Analysis using Structural Equation Modeling

## Documentation for package ‘metaSEM’ version 0.9.16

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

A B C D H I J L M N P R S T U V W

metaSEM-package | Meta-Analysis using Structural Equation Modeling

## -- A --

Aloe14 | Multivariate effect sizes between classroom management self-efficacy (CMSE) and other variables reported by Aloe et al. (2014)
anova.meta | Compare Nested Models with Likelihood Ratio Statistic
anova.meta3X | Compare Nested Models with Likelihood Ratio Statistic
anova.reml | Compare Nested Models with Likelihood Ratio Statistic
anova.wls | Compare Nested Models with Likelihood Ratio Statistic
as.mxMatrix | Convert a Matrix into MxMatrix-class
asyCov | Compute Asymptotic Covariance Matrix of a Correlation/Covariance Matrix

## -- B --

BCG | Dataset on the Effectiveness of the BCG Vaccine for Preventing Tuberculosis
bdiagMat | Create a Block Diagonal Matrix
bdiagRep | Create a Block Diagonal Matrix by Repeating the Input
Becker09 | Ten Studies of Correlation Matrices used by Becker (2009)
Becker83 | Studies on Sex Differences in Conformity Reported by Becker (1983)
Becker92 | Six Studies of Correlation Matrices reported by Becker (1992; 1995)
Becker94 | Five Studies of Ten Correlation Matrices reported by Becker and Schram (1994)
Berkey98 | Five Published Trails from Berkey et al. (1998)
Boer16 | Correlation Matrices from Boer et al. (2016)
bootMASEM1 | Parametric bootstrap on the univariate R (uniR) object
bootMASEM2 | Fit Models on the bootstrapped correlation matrices
Bornmann07 | A Dataset from Bornmann et al. (2007)

## -- C --

Cheung00 | Fifty Studies of Correlation Matrices used in Cheung and Chan (2000)
Cheung09 | A Data Set from TSSEM User's Guide Version 1.11 by Cheung (2009)
coef.meta | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.meta3X | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.MxRAMModel | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.reml | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.tssem1FEM | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.tssem1FEM.cluster | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.tssem1REM | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.wls | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
coef.wls.cluster | Extract Parameter Estimates from tssem1FEM, tssem1FEM.cluster, tssem1REM, wls, wls.cluster, meta, meta3X, reml and MxRAMModel Objects
Cooke16 | Correlation Matrices from Cooke et al. (2016)
Cooper03 | Selected effect sizes from Cooper et al. (2003)
create.Fmatrix | Create an F matrix to select observed variables
create.mxMatrix | Create a Vector into MxMatrix-class

## -- D --

Diag | Matrix Diagonals
Diag<- | Matrix Diagonals
Digman97 | Factor Correlation Matrices of Big Five Model from Digman (1997)

## -- H --

HedgesOlkin85 | Effects of Open Education Reported by Hedges and Olkin (1985)
homoStat | Test the Homogeneity of Effect Sizes
Hox02 | Simulated Effect Sizes Reported by Hox (2002)
Hunter83 | Fourteen Studies of Correlation Matrices reported by Hunter (1983)

## -- I --

impliedR | Create or Generate the Model Implied Correlation or Covariance Matrices
indirectEffect | Estimate the asymptotic covariance matrix of standardized or unstandardized indirect and direct effects
is.pd | Test Positive Definiteness of a List of Square Matrices
issp05 | A Dataset from ISSP (2005)
issp89 | A Dataset from Cheung and Chan (2005; 2009)

## -- J --

Jaramillo05 | Dataset from Jaramillo, Mulki & Marshall (2005)

## -- L --

lavaan2RAM | Convert 'lavaan' models to RAM models
list2matrix | Convert a List of Symmetric Matrices into a Stacked Matrix

## -- M --

Mak09 | Eight studies from Mak et al. (2009)
matrix2bdiag | Convert a Matrix into a Block Diagonal Matrix
meta | Univariate and Multivariate Meta-Analysis with Maximum Likelihood Estimation
meta2semPlot | Convert 'metaSEM' objects into 'semPlotModel' objects for plotting
meta3 | Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation
meta3X | Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation
metaSEM | Meta-Analysis using Structural Equation Modeling

## -- N --

Nohe15A1 | Correlation Matrices from Nohe et al. (2015)
Nohe15A2 | Correlation Matrices from Nohe et al. (2015)
Norton13 | Studies on the Hospital Anxiety and Depression Scale Reported by Norton et al. (2013)

## -- P --

pattern.n | Display the Accumulative Sample Sizes for the Covariance Matrix
pattern.na | Display the Pattern of Missing Data of a List of Square Matrices
plot.meta | Plot method for meta objects
print.impliedR | Print Methods for various Objects
print.meta | Print Methods for various Objects
print.meta3X | Print Methods for various Objects
print.reml | Print Methods for various Objects
print.summary.bootMASEM2 | Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.CorPop | Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.meta | Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.meta3X | Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.reml | Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.tssem1FEM | Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.tssem1FEM.cluster | Summary Method for tssem1, wls, meta and meta3X Objects
print.summary.wls | Summary Method for tssem1, wls, meta and meta3X Objects
print.tssem1FEM | Print Methods for various Objects
print.tssem1FEM.cluster | Print Methods for various Objects
print.tssem1REM | Print Methods for various Objects
print.uniR1 | Print Methods for various Objects
print.wls | Print Methods for various Objects

## -- R --

rCor | Generate Sample/Population Correlation/Covariance Matrices
rCorPop | Generate Sample/Population Correlation/Covariance Matrices
rCorSam | Generate Sample/Population Correlation/Covariance Matrices
readFullMat | Read External Correlation/Covariance Matrices
readLowTriMat | Read External Correlation/Covariance Matrices
readStackVec | Read External Correlation/Covariance Matrices
reml | Estimate Variance Components with Restricted (Residual) Maximum Likelihood Estimation
reml3 | Estimate Variance Components in Three-Level Univariate Meta-Analysis with Restricted (Residual) Maximum Likelihood Estimation
rerun | Rerun models via mxTryHard()
rimpliedR | Create or Generate the Model Implied Correlation or Covariance Matrices
Roorda11 | Studies on Students' School Engagement and Achievement Reported by Roorda et al. (2011)

## -- S --

smdMES | Compute Effect Sizes for Multiple End-point Studies
smdMTS | Compute Effect Sizes for Multiple Treatment Studies
summary.bootMASEM2 | Summary Method for tssem1, wls, meta and meta3X Objects
summary.CorPop | Summary Method for tssem1, wls, meta and meta3X Objects
summary.meta | Summary Method for tssem1, wls, meta and meta3X Objects
summary.meta3X | Summary Method for tssem1, wls, meta and meta3X Objects
summary.reml | Summary Method for tssem1, wls, meta and meta3X Objects
summary.tssem1FEM | Summary Method for tssem1, wls, meta and meta3X Objects
summary.tssem1FEM.cluster | Summary Method for tssem1, wls, meta and meta3X Objects
summary.tssem1REM | Summary Method for tssem1, wls, meta and meta3X Objects
summary.wls | Summary Method for tssem1, wls, meta and meta3X Objects
summary.wls.cluster | Summary Method for tssem1, wls, meta and meta3X Objects

## -- T --

tssem1 | First Stage of the Two-Stage Structural Equation Modeling (TSSEM)
tssem1FEM | First Stage of the Two-Stage Structural Equation Modeling (TSSEM)
tssem1REM | First Stage of the Two-Stage Structural Equation Modeling (TSSEM)
tssem2 | Conduct a Correlation/Covariance Structure Analysis with WLS

## -- U --

uniR1 | First Stage analysis of the univariate R (uniR) approach
uniR2lavaan | Second Stage analysis of the univariate R (uniR) approach
uniR2mx | Second Stage analysis of the univariate R (uniR) approach

## -- V --

VarCorr | Extract Variance-Covariance Matrix of the Random Effects
vcov.meta | Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.meta3X | Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.MxRAMModel | Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.reml | Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.tssem1FEM | Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.tssem1FEM.cluster | Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.tssem1REM | Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.wls | Extract Covariance Matrix Parameter Estimates from Various Objects
vcov.wls.cluster | Extract Covariance Matrix Parameter Estimates from Various Objects
vec2symMat | Convert a Vector into a Symmetric Matrix

## -- W --

wls | Conduct a Correlation/Covariance Structure Analysis with WLS
wvs94a | Forty-four Studies from Cheung (2013)
wvs94b | Forty-four Covariance Matrices on Life Satisfaction, Job Satisfaction, and Job Autonomy