Dataset (SEM, Three Factors, Nine Variables, Mediation, Skewed)

Generated from a three-factor model with nine variables, n = 150, with some observed variables positively skewed.

Usage

mediation_latent_skewed

Format

A data frame with 150 rows and nine variables:

x1: x1
x2: x2
x3: x3
x4: x4
x5: x5
x6: x6
x7: x7
x8: x8
x9: x9

Details

This model is used for examples like this one:

mod <-
"
fx =~ x1 + x2 + x3
fm =~ x4 + x5 + x6
fy =~ x7 + x8 + x9
fm ~ a*fx
fy ~ b*fm + cp*fx
ab := a*b
"
fit <- lavaan::sem(mod, mediation_latent)

Examples


print(head(mediation_latent_skewed), digits = 3)
#>       x1      x2     x3     x4     x5      x6      x7     x8      x9
#> 1 -0.531 -0.8247 -0.135  2.153  1.682  2.6862  0.0378 -0.575 -0.3487
#> 2 -0.366 -0.4707 -0.378  0.502  0.839  0.5743  2.1701  1.427  0.5184
#> 3 -0.587 -0.9881  2.105 -1.242 -0.993 -0.0189 -0.2263 -1.436 -1.0298
#> 4 -0.204 -0.9530 -0.899  0.137 -0.400 -0.0742 -0.6008 -0.107 -0.8484
#> 5  0.552 -0.0556 -0.367  2.555 -0.354  0.5379 -0.4397 -0.678 -0.7983
#> 6 -0.300 -0.4719 -0.501  0.803  1.904 -0.1835  1.2731 -0.317 -0.0114
nrow(mediation_latent_skewed)
#> [1] 150