What are the two key adjusted log-likelihoods used in multi-level linear modelling?
A)AICC and AIC
B)AIC and CAIC
C)CAIC and BIC
D)AIC and BIC

Question

Quizplus · Accepted Answer

AIC and BIC are the two key adjusted log-likelihoods used in multi-level linear modelling. AIC (Akaike Information Criterion) and BIC (Bayesian Information Criterion) are both measures of model fit that penalize models for their complexity. AIC is more commonly used in multi-level linear modelling, but BIC is often preferred when the sample size is small.

What Are the Two Key Adjusted Log-Likelihoods Used in Multi-Level