Meta-Analysis using Structural Equation Modeling

Documentation for package ‘metaSEM’ version 1.4.0

Help Pages

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.meta3LFIML	Compare Nested Models with Likelihood Ratio Statistic
anova.mxRAMmodel	Compare Nested Models with Likelihood Ratio Statistic
anova.osmasem	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.mxAlgebra	Convert a Character Matrix into MxAlgebra-class
as.mxMatrix	Convert a Matrix into MxMatrix-class
as.symMatrix	Convert a Character Matrix with Starting Values to a Character Matrix without Starting Values
asyCov	Compute Asymptotic Covariance Matrix of a Correlation/Covariance Matrix
asyCovOld	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)
bootuniR1	Parametric bootstrap on the univariate R (uniR) object
bootuniR2	Fit Models on the bootstrapped correlation matrices
Bornmann07	A Dataset from Bornmann et al. (2007)

-- C --

calEffSizes	Calculate Effect Sizes using lavaan Models
checkRAM	Check the correctness of the RAM formulation
Cheung00	Fifty Studies of Correlation Matrices used in Cheung and Chan (2000)
Cheung09	A Dataset from TSSEM User's Guide Version 1.11 by Cheung (2009)
coef.meta	Extract Parameter Estimates from various classes.
coef.meta3LFIML	Extract Parameter Estimates from various classes.
coef.mxRAMmodel	Extract Parameter Estimates from various classes.
coef.osmasem	Extract Parameter Estimates from various classes.
coef.reml	Extract Parameter Estimates from various classes.
coef.tssem1FEM	Extract Parameter Estimates from various classes.
coef.tssem1FEM.cluster	Extract Parameter Estimates from various classes.
coef.tssem1REM	Extract Parameter Estimates from various classes.
coef.wls	Extract Parameter Estimates from various classes.
coef.wls.cluster	Extract Parameter Estimates from various classes.
Cooke16	Correlation Matrices from Cooke et al. (2016)
Cooper03	Selected effect sizes from Cooper et al. (2003)
Cor2DataFrame	Convert correlation or covariance matrices into a dataframe of correlations or covariances with their sampling covariance matrices
create.Fmatrix	Create an F matrix to select observed variables
create.modMatrix	Create a moderator matrix used in OSMASEM
create.mxMatrix	Create a Vector into MxMatrix-class
create.mxModel	Create an mxModel
create.Tau2	Create a variance component of the heterogeneity of the random effects
create.V	Create a V-known matrix
create.vechsR	Create a model implied correlation matrix with implicit diagonal constraints

-- D --

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

-- G --

Gleser94	Two Datasets from Gleser and Olkin (1994)
Gnambs18	Correlation Matrices from Gnambs, Scharl, and Schroeders (2018)

-- 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)

-- K --

Kalaian96

Multivariate effect sizes reported by Kalaian and Raudenbush (1996)

-- 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)
Mathieu15	Correlation Matrices from Mathieu et al. (2015)
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
meta3L	Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation
meta3LFIML	Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation
meta3X	Three-Level Univariate Meta-Analysis with Maximum Likelihood Estimation
metaFIML	Univariate and Multivariate Meta-Analysis with Maximum Likelihood Estimation
metaSEM	Meta-Analysis using Structural Equation Modeling

-- N --

Nam03	Dataset on the Environmental Tobacco Smoke (ETS) on children's health
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)

-- O --

osmasem	One-stage meta-analytic structural equation modeling
osmasemR2	Calculate the R2 in OSMASEM and OSMASEM3L
osmasemSRMR	Calculate the SRMR in OSMASEM and OSMASEM3L

-- 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.character	Plot methods for various objects
plot.meta	Plot methods for various objects
plot.mxRAMmodel	Plot methods for various objects
plot.osmasem	Plot methods for various objects
plot.wls	Plot methods for various objects
print.impliedR	Print Methods for various Objects
print.meta	Print Methods for various Objects
print.meta3LFIML	Print Methods for various Objects
print.reml	Print Methods for various Objects
print.summary.bootuniR2	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.Cor3L	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.CorPop	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.meta	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.meta3LFIML	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.mxRAMmodel	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.reml	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.tssem1FEM	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.tssem1FEM.cluster	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
print.summary.wls	Summary Method for tssem1, wls, meta, and meta3LFIML 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 (Nested) Sample/Population Correlation/Covariance Matrices
rCor3L	Generate (Nested) Sample/Population Correlation/Covariance Matrices
rCorPop	Generate (Nested) Sample/Population Correlation/Covariance Matrices
rCorSam	Generate (Nested) 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
reml3L	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 --

Scalco17	Correlation Matrices from Scalco et al. (2017)
smdMES	Compute Effect Sizes for Multiple End-point Studies
smdMTS	Compute Effect Sizes for Multiple Treatment Studies
Stadler15	Correlations from Stadler et al. (2015)
summary.bootuniR2	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.Cor3L	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.CorPop	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.meta	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.meta3LFIML	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.mxRAMmodel	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.osmasem	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.reml	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.tssem1FEM	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.tssem1FEM.cluster	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.tssem1REM	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.wls	Summary Method for tssem1, wls, meta, and meta3LFIML Objects
summary.wls.cluster	Summary Method for tssem1, wls, meta, and meta3LFIML Objects

-- T --

Tenenbaum02	Correlation coefficients reported by Tenenbaum and Leaper (2002)
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
tssemParaVar	Estimate the heterogeneity (SD) of the parameter estimates of the TSSEM object

-- 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 --

vanderPol17	Dataset on the effectiveness of multidimensional family therapy in treating adolescents with multiple behavior problems
VarCorr	Extract Variance-Covariance Matrix of the Random Effects
vcov.meta	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.meta3LFIML	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.mxRAMmodel	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.osmasem	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.reml	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.tssem1FEM	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.tssem1FEM.cluster	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.tssem1REM	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.wls	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
vcov.wls.cluster	Extract Covariance Matrix Parameter Estimates from Objects of Various Classes
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