Introduction to Multilevel and Longitudinal Designs
In this module, we review basic statistical concepts (e.g., hypothesis testing), and explore the fundamentals of both multi-level and longitudinal studies. Conceptual knowledge is covered to provide a framework for analyzing and synthesizing research study designs. This module lays a foundation for subsequent learning. The module concludes with an introduction to the GLIMMPSE software for conducting your own power and sample size analyses. You will walk through a fully guided exercise problem to solve for power for a single level cluster design.
- Define and identify the independent sampling unit (ISU).
- Define and identify the unit of observation.
- Compare and contrast between- and within-independent sampling unit factors.
- Describe and provide an example of a longitudinal study.
- Compare and contrast how single-level and multi-level cluster designs induce correlation.
- Describe and provide an example of a multi-level study.
- Recognize how designs with multilevel and longitudinal features have two kinds of correlation among measurements.
- 1.0 Review of Basic Statistical Concepts
- 1.1 Introducing Longitudinal Studies
- 1.2 Studies with a Single Level of Clustering
- 1.3 Studies with Multiple Levels of Clustering
- 1.4 Multilevel and Longitudinal Studies