semfindr (version 0.1.9)

cfa_dat_mg: Sample Data: A Multiple-Group CFA Model with an Influential Case

Description

A six-variable dataset with 100 cases.

Usage

cfa_dat_mg

Format

A data frame with 100 rows and 6 variables:

x1

Indicator. Numeric.

x2

Indicator. Numeric.

x3

Indicator. Numeric.

x4

Indicator. Numeric.

x5

Indicator. Numeric.

x6

Indicator. Numeric.

gp

Group variable. Character. Either "GroupA" or "GroupB".

Examples

library(lavaan)
data(cfa_dat_mg)
mod <-
"
f1 =~  x1 + x2 + x3
f2 =~  x4 + x5 + x6
"
fit1 <- cfa(mod, cfa_dat_mg, group = "gp")
fit2 <- cfa(mod, cfa_dat_mg, group = "gp",
            group.equal = "loadings")
fit3 <- cfa(mod, cfa_dat_mg, group = "gp",
            group.equal = c("loadings", "intercepts"))
lavTestLRT(fit1, fit2, fit3)
lavTestLRT(fit1, fit3)

# Drop the first case
cfa_dat_mgb <- cfa_dat_mg[-1, ]
fit1b <- cfa(mod, cfa_dat_mgb, group = "gp")
fit2b <- cfa(mod, cfa_dat_mgb, group = "gp",
             group.equal = "loadings")
fit3b <- cfa(mod, cfa_dat_mgb, group = "gp",
             group.equal = c("loadings", "intercepts"))
lavTestLRT(fit1b, fit2b, fit3b)
lavTestLRT(fit1b, fit3b)