Title

Power of Models in Longitudinal Study: Findings From a Full-Crossed Simulation Design

UMMS Affiliation

Department of Quantitative Health Sciences

Publication Date

12-1-2009

Document Type

Article

Subjects

Longitudinal Studies; Models, Statistical; Computational Biology; Multivariate Analysis

Disciplines

Bioinformatics | Biostatistics | Epidemiology | Health Services Research

Abstract

Because the power properties of traditional repeated measures and hierarchical multivariate linear models have not been clearly determined in the balanced design for longitudinal studies in the literature, the authors present a power comparison study of traditional repeated measures and hierarchical multivariate linear models under 3 variance-covariance structures. The results from a full-crossed simulation design suggest that traditional repeated measures have significantly higher power than do hierarchical multivariate linear models for main effects, but they have significantly lower power for interaction effects in most situations. Significant power differences are also exhibited when power is compared across different covariance structures.

Rights and Permissions

Citation: Journal of Experimental Education. 2009 Apr 1;77(3):215-254. Link to article on publisher's site

Journal/Book/Conference Title

Journal of experimental education

Related Resources

Link to Article in PubMed