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
Exercise instructions
- Name your model
text.model
. - Name your latent variable
textspeed
. - Use variables
x4
,x5
,x6
,x7
,x8
, andx9
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
___ <- ___