Abstract: Multi-level structures are omnipresent. Consumers live in geographical locations, shop in specific stores, or are members of clubs. Consumers who belong to the same group share characteristics and are expected to be more similar than consumers belonging to another group. In data analysis this sharedness needs to be taken into account to enable valid inferences. In this chapter, we describe what multilevel analysis is and introduce major methods when dealing with multiple levels of analysis (e.g., individual and country). We elaborate on the key...
(read more)
Topics: 
Data science