Analyze Text Speed Model
Let's analyze your text speed model from the first lesson. This model included one latent variable, textspeed, represented by six manifest variables. Variables x4, x5, x6 measured reading comprehension, and x7, x8, and x9 measured speed counting and addition from the HolzingerSwineford1939 dataset.
We will use the cfa() function to analyze text.model using the data from HolzingerSwineford1939. Our summary should indicate the model was identified with 9 degrees of freedom. You should examine the latent variable estimates to determine which items measure the latent variable well (high scores) and which do not (low scores).
Deze oefening maakt deel uit van de cursus
Structural Equation Modeling with lavaan in R
Oefeninstructies
- Use the
cfa()function to fit a model calledtext.fit. Remember to include both model and data arguments! - Use the
summary()function to view the model fit.
Praktische interactieve oefening
Probeer deze oefening eens door deze voorbeeldcode in te vullen.
# Load the lavaan library
library(lavaan)
# Load the dataset and define model
data(HolzingerSwineford1939)
text.model <- 'textspeed =~ x4 + x5 + x6 + x7 + x8 + x9'
# Analyze the model with cfa()
# Summarize the model