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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.

Diese Übung ist Teil des Kurses

Structural Equation Modeling with lavaan in R

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Anleitung zur Übung

  • 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 model blue.

Interaktive Übung

Vervollständige den Beispielcode, um diese Übung erfolgreich abzuschließen.

# Load the library
library(semPlot)

# Update the default picture
semPaths(object = adopt.fit,
         layout = "tree",
         rotation = 2,
         ___,
         edge.label.cex = 1,
         ___,
         ___)
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