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Build Text Speed Model

Let's practice defining models. Remember to name your latent variables with a name that is not in your current dataset. However, manifest variables should be column names from your dataset.

Use the HolzingerSwineford1939 dataset to create a new model of textual speed with the variables x4, x5, and x6, which represent reading comprehension and understanding word meaning. x7, x8, and x9 represent speed counting and addition. The model will have one latent variable that predicts scores on these six manifest variables.

This exercise is part of the course

Structural Equation Modeling with lavaan in R

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Exercise instructions

  • Name your model text.model.
  • Name your latent variable textspeed.
  • Use variables x4, x5, x6, x7, x8, and x9 as the manifest variables.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Load the lavaan library
library(lavaan)

# Look at the dataset
data(HolzingerSwineford1939)
head(HolzingerSwineford1939[ , 7:15])

# Define your model specification
___ <- ___
Edit and Run Code