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  3. Structural Equation Modeling with lavaan in R

Exercise

Analyze a Manifest Heywood Case

After reporting your findings, the adoption group recreated their survey to measure two factors: how effective their online story posts were in goodstory and how much an inperson interaction mattered. The new data is loaded under adoptsurvey. In this exercise, you will look for a Heywood cases on one of the manifest variables, rather than on the latent variable.

Instructions

100 XP
  • Analyze the updated data adoptsurvey for the two factor adopt.model with the cfa() function.
  • Watch for warnings after the cfa() has been analyzed.
  • Use the summary() function to explore which manifest variable is problematic.