ABSTRACT

This chapter discusses how and why multilevel modeling is a flexible and powerful tool for analyzing data with a hierarchical structure. Such data are often found in nursing science and public health research (e.g., when analyzing patients in clinics or hospitals). Using example datasets, we explain step-by-step how to conduct linear multilevel modeling. Additionally we provide syntax commands for several software packages and demonstrate how to interpret the results of multilevel analyses.