Exercise

# Run a CFA and interpret loadings

It's finally time to actually run a CFA! You've got the syntax all set up, and now all that's left is to plug it into the `sem()`

function along with the appropriate dataset.

Now that you've created syntax and run the model, it's time to look at the results. Output can be viewed using the `summary()`

function. After the fit statistics, you'll see the r-squared values for each of the items, which show the proportion of variance in the factor explained by that item. Below those, you'll see parameter estimates for the item/factor relationships (denoted with `lam[]`

), the covariances between factors (denoted with `C[]`

), and variances of each individual item (denoted with `V[]`

).

Instructions 1/2

**undefined XP**

- Use the theory-based syntax you created earlier in this chapter to run a confirmatory factor analysis using the
`sem()`

function.