Explore advanced statistical techniques in this comprehensive 2.5-hour tutorial on cross-classified models. Delve into the fundamentals of these complex structures, learn model fitting techniques, and discover extensions and further applications. Gain hands-on experience through practical exercises, equipping you with the skills to analyze and interpret data with multiple, non-hierarchical grouping factors. Ideal for researchers and statisticians seeking to enhance their multilevel modeling toolkit.
Overview
Syllabus
Cross Classified Models Part 1: Introduction.
Cross Classified Models Part 2: Model fitting.
Cross Classified Models Part 3: Extensions and Further Applications.
Cross Classified Models Part 4: Practical.
Taught by
NCRMUK
