This course will review the fundamental principles of multilevel analysis and discuss how it differs from other analytical approaches. The type of questions for which multilevel analysis is most useful will be discussed. Students will learn how to specify, fit, and interpret multilevel models. Prior knowledge of linear regression is required. Emphasis will be on conceptual understanding, application and interpretation. Examples from urban health research will be discussed. Conceptual and methodological challenges in using multilevel analysis will be reviewed. This course may be of interest to public health professionals, researchers, and students who conduct or interpret quantitative research and have some familiarity using statistical software to conduct and interpret simple analyses.