NestedOrNot: NestedOrNot Function

In Hangcheng1989/TetradAnalysis: Functions for Confirmatory Tetrad Analysis

Description

"NestedOrNot " is used to know two models are nested in terms of tetrads or not (Bollen, 1993).

Usage

NestedOrNot(Samplecov1, FactorModel1, Size1, Samplecov2, FactorModel2, Size2)

Arguments

"Data1",	An optional data frame containing the observed variables used in the first model.
"Data2",	An optional data frame containing the observed variables used in the second model.
"Model1"	A description of the user-specified first model. The model is described using the lavaan model synta(Rosseel, 2012).
"Model2"	A description of the user-specified second model. The model is described using the lavaan model synta(Rosseel, 2012).
"Size1"	Size of the first data sample.
"Size2"	Size of the second data sample.

Value

"Model1COV", Implied variance-covariance matrix from the first model.

"Model2COV", Implied variance-covariance matrix from the second model.

"NRVT1", Nonredundant vanishing tetrad setting implied by the first model.

"NRVT2", Nonredundant vanishing tetrad setting implied by the second model.

"NRVT_Num1", Nonredundant vanishing tetrad number for the first model.

"NRVT_Num1", Nonredundant vanishing tetrad number for the second model.

"NEST", Two models are nested or not nested in terms of tetrads.

References

Bollen, K. A., & Ting, K. F. (1993). Confirmatory tetrad analysis. Sociological methodology, 147-175.

Rosseel, Y. (2012). lavaan: An R package for structural equation modeling. Journal of Statistical Software, 48(2), 1-36.

Examples

## Input sample variance-covariance matrix "(Sampledata) ".
data<-c(2.18, 0.63, 0.50, 0.22, 0.39, 0.42, 0.63, 1.44, 0.50, 0.12, 0.11, 0.15, 0.50, 0.50, 1.71, 0.87, 0.59, 0.48, 0.22, 0.12, 0.87, 1.46, 0.54, 0.42, 
0.39, 0.11, 0.59, 0.54, 1.12, 0.23, 0.42, 0.15, 0.48, 0.42, 0.23, 1.42)
Sampledata <- matrix(data, nrow = 6, ncol = 6, byrow = TRUE)
colnames(Sampledata) <- c('x1','x2','x3','x4','x5','x6')

## Sample size
Size<-100

## Input model
FactorModel1<-'
Y1 =~ x1 + x2 + x3
Y2 =~ x4 + x5 + x6
Y2 ~ Y1
x3 ~ x4
'

FactorModel2<-'
Y1 =~ x1 + x2 + x3
Y2 =~ x4 + x5 + x6
Y2 ~ Y1
x4 ~~ x3
'

## Use "NestedOrNot " to run Confirmatory Tetrad Analysis
NestedOrNot(Sampledata,FactorModel1,Size,Sampledata,FactorModel2,Size)

Hangcheng1989/TetradAnalysis documentation built on May 15, 2019, 1:57 a.m.