Date of Award
Spring 2022
Degree Name
Bachelor of Science
Department
Computer Science & Mathematics; College of Arts & Sciences
First Advisor
Dr. Weihong Ni
Abstract
In statistical analysis, ignoring the clustered structure of data can lead to invalid results and statistical tests to be falsely rejected too often. Through R simulations, we investigated the effect of neglecting data clustering and explored statistical approaches that take data clustering into account. Our results and findings are consistent with the literature.
Recommended Citation
Michel, Shira, "Approaches to analyzing clustered data" (2022). Capstone Showcase. 1.
https://scholarworks.arcadia.edu/showcase/2022/comp_sci_math/1
Approaches to analyzing clustered data
In statistical analysis, ignoring the clustered structure of data can lead to invalid results and statistical tests to be falsely rejected too often. Through R simulations, we investigated the effect of neglecting data clustering and explored statistical approaches that take data clustering into account. Our results and findings are consistent with the literature.