Multi-Level Modeling

Evanschitzky, aHeiner; Backhaus, Christof

Abstract

Whenever research is concerned with the analysis of relationships between lowerlevel units (e.g., individuals) and the higherlevel unit they belong to (e.g., group), a hierarchical – multilevel or nested – data structure occurs. In such cases, multi‐level modeling (MLM) approaches, also known as hierarchical linear modeling, are suited to empirically assess respective data structures in a methodologically correct way. The article gives an introduction to the background of multilevel modeling, outlines the methodological procedure for the basic case of a two‐level model, and provides an outlook to more advanced applications of MLM.

Citation

Evanschitzky, A., & Backhaus, C. (2015). Multi-Level Modeling

• Other Type: Other
• Online Publication Date: Jan 21, 2015
• Publication Date: 2015
• Deposit Date: Jun 30, 2020
• Publisher: Wiley
• ISBN: 9781118785317
• DOI: https://doi.org/10.1002/9781118785317.weom090175
• Public URL: http://researchrepository.napier.ac.uk/Output/2673304