Introduction to Longitudinal Data Analysis Using Structural Equation Modeling
June 16th, 2020
This workshop will provide an introduction to longitudinal data analysis using structural equation modelling (SEM). We will review the advantages of using SEM to analyze longitudinal data, including dealing with missing data. We will cover the process of formulating your research question, selecting the appropriate method of analysis, and interpreting and evaluating the model results. The workshop will focus on the main SEM methods for analyzing longitudinal data: auto-regressive SEM models and latent growth curve models.
Dr. Nicky Wright is a Research Associate Statistician at the Institute of Psychiatry, Psychology & Neuroscience at Kings College London. She completed her PhD in Clinical Psychology at the University of Liverpool whilst working part-time as a Research Assistant on a prospective birth cohort study. Dr Wright joined the Department of Biostatistics at Kings College in 2018 as a Statistical Post-Doc under the supervision of Professor Andrew Pickles. Her work focuses on using advanced statistical methods to enrich an understanding of early appearing developmental psychopathology. Her particular areas of expertise include early-onset antisocial behaviour, particularly aggression and callous-unemotional traits.
Longitudinal research, Structural equation modelling, Research question formulation, Latent growth curve models and Statistical analysis