Edit the Labels
The adoption group wants to perfect their survey for future use. To help them understand the results, you can add labels to the paths to indicate which items were the most related to their latent variables.
You can shade those labels by strength to add more data visualization to the model picture. You should see that the goodstory
manifest variables are much stronger than the inperson
variables.
This exercise is part of the course
Structural Equation Modeling with lavaan in R
Exercise instructions
- Use the
whatLabels
argument to show the standardized loadings. - Use the
what
argument to color by the standardized loadings. - Use the
edge.color
argument to color the modelblue
.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Load the library
library(semPlot)
# Update the default picture
semPaths(object = adopt.fit,
layout = "tree",
rotation = 2,
___,
edge.label.cex = 1,
___,
___)