In the context of multilevel models what do we mean by a fixed regression coefficient?
A)A regression coefficient that is stable across different samples
B)A regression coefficient that is assumed to be the same in the population and the sample
C)A regression coefficient that is assumed not to vary across contexts
D)A regression coefficient that is always a fixed value and does not need to be estimated

Question

Quizplus · Accepted Answer

In multilevel models, a fixed regression coefficient refers to a parameter that is assumed not to vary across different contexts or levels of analysis. This is in contrast to a random coefficient, which is allowed to vary across groups or individuals. Fixed coefficients are typically estimated using maximum likelihood or Bayesian methods, and are used to test hypotheses about the relationships between predictors and outcomes.

In the Context of Multilevel Models What Do We Mean