STAT 151 - Multilevel and Longitudinal Models Learning Course

[STAT 151 - Multilevel and Longitudinal Models Learning Course] STAT 151 - Multilevel and Longitudinal Models STAT 151 introduces students to multilevel and longitudinal models, also known as hierarchical linear models or mixed-effects models. These models are used to analyze nested data structures and repeated measures over time. The course covers topics such as random intercepts and slopes, growth curve models, and mixed-effects ANOVA. Students learn how to model variability at different levels, account for dependencies in longitudinal data, and interpret fixed and random effects. Through practical exercises and case studies, students gain hands-on experience in applying multilevel and longitudinal models to research questions in education, psychology, public health, and social sciences. STAT 151 prepares students for advanced coursework and research involving complex data structures and longitudinal analysis techniques.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.