What Are Some Challenges Associated with Multilevel Analysis?
Despite its advantages, multilevel analysis comes with several challenges:
- Complexity: Specifying and interpreting multilevel models can be more complex than traditional statistical models. - Computational Intensity: Multilevel models often require more computational power, especially with large datasets. - Model Specification: Choosing the right level of complexity for the model (e.g., number of levels, random slopes) can be challenging and requires careful consideration.
