New Book Aids Public Health Researchers with Statistical Analysis of Longitudinal Studies
Tae Kyoung Lee, Ph.D., a senior research associate in the Department of Public Health Sciences, working with three co-authors from other institutions, has published an advanced mathematics book – Higher-Order Growth Curves and Mixture Modeling with Mplus: A Practical Guide – that will assist researchers with statistical analysis of longitudinal studies.
“Given that longitudinal changes in an individual’s behaviors, personality and relationships are strongly associated with the developmental processes of health-related disorders or diseases, conventional longitudinal analyses have a limitation to investigate the parallel process of longitudinal changes,” said Lee.
“In addition, as the longitudinal changes become more complex, for a proper analysis of change, advanced longitudinal analyses are warranted. This book not only provides health science students and researchers with a basic statistical knowledge in multivariate longitudinal analyses, but also serves as a supplementary practical guide along with Mplus statistical programs, which are increasingly being used by health science researchers.”