Exercise

# Explore Fit Indices

After reviewing the standardized loadings in the previous exercise, we found that several of the manifest variables may not represent our latent variable well. As a second measure of our model, you can examine the fit indices to see if the model appropriately fits the data. You can look at both the goodness of fit and badness of fit statistics using the `fit.measures`

argument within the `summary()`

function.

Remember that goodness of fit statistics, like the CFI and TLI, should be large (over .90) and close to one, while badness of fit measures like the RMSEA and SRMR should be small (less than .10) and close to zero.

Instructions

**100 XP**

- Use the
`summary()`

function on your`text.fit`

model. - Include the argument to view the fit indices.
- Do not include the standardized loadings.