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Research Methods Seminar: An Overview of Autoregressive, Latent Growth Curve, and ALT Models for Longitudinal Data
February 15, 2019 @ 12:00 pm - 1:00 pm
On Friday, February 15, Kenneth Bollen, PhD, will present An Overview of Autoregressive, Latent Growth Curve, and ALT Models for Longitudinal Data: CPC Research Methods Seminar as part of the Carolina Population Center 2018-2019 Interdisciplinary Research Seminar Series.
Professor Bollen is the Henry Rudolph Immerwahr Distinguished Professor, Psychology & Neuroscience and Department of Sociology at UNC-Chapel Hill. His research focuses on developing statistical methodology with applications across a range of population and health areas. His expertise on latent variable structural equation models provides a means to control for measurement error when testing hypotheses. As a statistical consultant for CPC, Bollen provides statistical advice for many CPC Fellows and students.
Friday, Feb 15
12-1
Carolina Square Room 2002
123 West Franklin Street
Location information is here.
PRESENTATION ABSTRACT
A wide variety of models are applied to analyze longitudinal data. This seminar provides an overview of three popular ones: the latent growth curve (LGC), the autoregressive (AR), and the autoregressive latent trajectory (ALT) longitudinal models. The seminar presents each model and discusses their parameters and interpretation. I use an empirical example to illustrate each model and how to program them using structural equation modeling software.