A Covariance Structure Needs to Be Applied to Multilevel Modelling

Multiple Choice

A covariance structure needs to be applied to multilevel modelling when there are random effects or repeated measures incorporated into the design. These are important as they provide an estimate of the model parameters, but what happens if you apply a covariance structure that is too simple?

A) It increases the likelihood of making a Type I error.
B) It increases the likelihood of making a Type II error.
C) It increases the likelihood of making a Type I or Type II error.
D) It increases the likelihood of accepting the null hypothesis when it is false.