Face-to-face workshop.

Hierarchically grouped data are common in the social sciences, medical fields and management research. These data violate the independence assumption required by conventional statistical methods. Multilevel analysis is an ideal way of accounting for variability both within and between groups. This hands-on training will enable you to perform multi-level analysis with R.

Prerequisites: Minimal knowledge of the R environment.