Multilevel linear models differ from regression in that they:
A)Allow you to do mediation analysis.
B)Allow you to include multiple predictor variables.
C)Can have categorical variables as predictors.
D)Take account of hierarchies in the data structure.

Question

Quizplus · Accepted Answer

Multilevel linear models take into account the hierarchical structure of the data, which is not considered in traditional regression models. Choice A, mediation analysis, can be done with both regression and multilevel models. Choice B, multiple predictor variables, can also be included in both regression and multilevel models. Choice C, categorical variables as predictors, can be included in regression using dummy variables, but multilevel models offer more flexibility in analyzing categorical variables. Therefore, the best answer is D.

Multilevel Linear Models Differ from Regression in That They