Exercise

Fix the Latent Heywood Model

In the last exercise, you found that the adoption survey had a correlation > 1 on the latent variable. You should fix the Heywood case by collapsing the two latent variables into one latent variable. Then you should analyze and summarize the model to explore if merging these two factors into one has solved the problematic correlation.

Instructions

100 XP

Change the model to create only one goodstory factor that is measured by all six manifest variables in the adoptsurvey dataset.
Analyze the model with the cfa() function to ensure there are no error messages.
Run the summary() for the model to view the final model fit.