Introduction to Multi-Level Modeling

**An introduction to hierarchical modeling****Freeman, M. (2017).***An introduction to hierarchical modeling.*

This website provides visual simulations of multilevel data structure, as well as other types of models. The simulations presented on this website are powerful to help students understand the concept of multilevel data structure and other concepts in multilevel modeling.**Longitudinal data analysis****Hedeker, D. (n.d.)***Longitudinal data analysis.*

This website provides links to very useful resources on multilevel data, e.g, PowerPoint slides and datasets on multilevel models.**Chapter 2: Planning a multilevel model****Luke, D. (2020). Chapter 2. Planning a multilevel model.***Multilevel modeling: Second Edition*(pp. 9-15). SAGE Publications, Inc.

This chapter discusses the basics of a two-level multilevel model and the importance of random effects. The goal of a multilevel model is to predict values of some dependent variable based on a function of predictor variables at more than one level. For example, we might want to examine how a child’s score on a standardized reading exam is influenced both by characteristics of the child (e.g., amount of study time) as well as characteristics of the child’s classroom (e.g., size of class). In this example, we consider the child to be measured and modeled at Level 1, and the classroom at Level 2.

**Cohort profile: The Amsterdam growth and health longitudinal study****Wijnstok, N. J., Hoekstra, T., van Mechelen, W., Kemper, H. C. G., & Twisk, J. W. R. (2013). Cohort profile: The Amsterdam growth and health longitudinal study.***International Journal of Epidemiology, 42(2),*422–429.

- Last Updated: Sep 14, 2022 11:41 AM
- URL: https://resources.nu.edu/c.php?g=1253036
- Print Page