Hierarchical linear modeling is a common name for
A)path analysis.
B)factor analysis.
C)multilevel modeling.
D)structural equation modeling.

Question

Quizplus · Accepted Answer

Hierarchical linear modeling (HLM) is also commonly known as multilevel modeling. This type of modeling is used to analyze data that has a hierarchical or nested structure, such as when individuals are nested within groups or organizations. HLM allows for the examination of both within-group and between-group effects and can lead to a more accurate understanding of the relationships between variables. Path analysis, factor analysis, and structural equation modeling are all related but distinct statistical techniques that are not interchangeable with HLM.

Hierarchical Linear Modeling Is a Common Name for