Cross-Classified Models

This course covers the learning outcomes and goals of understanding cross-classified models, including their introduction, model fitting, extensions, and practical applications. Students will learn the individual skills and tools required to analyze data using cross-classified models. The teaching method involves a combination of theoretical explanations and practical applications. The intended audience for this course includes researchers, statisticians, and data analysts looking to enhance their skills in analyzing complex data structures.