PSY6558

Multilevel modeling is a flexible analytic approach for the examination of non-independent observations. Common examples of non-independence in the social sciences are when studying groups of related individuals (e.g., married couples, parents and children, students in a classroom, etc.) change over time. These nested data structures violate the assumptions of many traditional methods of data analysis, while multilevel models are specifically designed to accurately accommodate these data complexities. This course emphasizes conceptual understanding of statistical issues unique to nested data structures, specification and estimation of multilevel models using statistical software, and interpretation of results. Time is split between covering conceptual material in lecture and using statistical software to estimate multilevel models in the computer labs.

006136

Spring