Longitudinal
Research Institute
Advanced
Longitudinal Data Analysis Workshop
August
15-17, 2011
Overview
The workshop on
Advanced Longitudinal Data Analysis is an intense three-day workshop
focused on models for change using structural equation and multilevel
approaches. Topics include latent growth curve analysis, nonlinear modeling,
multiple groups and latent class (growth mixture models) growth curves, and
dynamic modeling (click here for tentative schedule). We provide a comprehensive
overview of recent advances in longitudinal data analysis through lecture
presentations, empirical examples, and computer lab sessions. Participants
receive hard and electronic copies of lecture presentations, relevant research
articles, example data sets, and programming scripts from commonly used
statistical packages such as SAS, SPSS, Mplus, LISREL, and
OpenMx.
Who Should
Attend
This training is designed for advanced graduate
students, post-doctoral fellows, faculty, and research scientists from the
behavioral, social, and health sciences. It is recommended that participants
have a working knowledge of regression and structural equation modeling;
however, basic concepts of structural equation modeling are discussed during the
workshop.
Goals
The goals of the workshop are to provide
participants with theoretical and practical knowledge of techniques for
modeling change with longitudinal data. Participants should leave the workshop
ready and able to analyze longitudinal data and properly interpret results from
such analyses.
Registration
Tuition for
the three-day workshop is $750 per registrant. Registration includes a bound
copy of the course notes and a CD containing programming scripts, relevant
research articles, example data sets, and electronic copies of the course notes.
Refreshments will be served during the morning and afternoon breaks. Please complete the
registration form here. Participation is limited to 30
individuals.
Important: After your registration form with fee
is mailed, please request confirmation by clicking here: Request
Confirmation
Facilities
The workshop will be held at
the Memorial
Union on the University of California, Davis campus in Davis,
California
Instructors
Emilio Ferrer, Ph.D., and Kevin Grimm, Ph.D.
Emilio Ferrer is an Associate Professor in the Department of Psychology at the University of California, Davis. His research interests include methods to analyze change and intra-individual variability, in particular latent change models and dynamical systems. His current research in this area involves techniques to model dyadic interactions and the neural changes underlying the development of fluid reasoning. This research is currently funded by the National Science Foundation and the National Institutes of Health. He is co-editor of the recent volume Statistical Methods for Modeling Human Dynamics. He can be reached via e-mail at eferrer@ucdavis.edu.
Kevin Grimm is an Assistant Professor in the Department of Psychology at the University of California, Davis. His research interests include multivariate methods for the analysis of change, multiple group and latent class models for understanding divergent developmental processes, and cognitive/achievement development. His current research revolves around models of nonlinear change, residual structures in latent growth curve analysis, and the effects of early motor skills on the development of academic skills. He has taught at workshops on longitudinal structural equation modeling sponsored by the American Psychological Association for the past eight years. He can be reached via e-mail at kjgrimm@ucdavis.edu.
Additional
Information
Please contact us via email (eferrer@ucdavis.edu and kjgrimm@ucdavis.edu) if you need additional information or have
questions.
Schedule
|
Day 1:
Introduction to Longitudinal Data and Change
Models | |
|
9:00 -
9:15 |
Welcome |
|
9:15 -
10:15 |
Introduction
to structural equation modeling |
|
10:45 -
12:00 |
Latent
growth curve and mixed effects (multilevel)
models |
|
1:30 -
2:45 |
Nonlinear
change models for longitudinal data |
|
3:15 -
4:30 |
Day 1
Computer Session |
|
4:30 -
5:00 |
Questions
& Answers |
|
|
|
|
Day 2:
Covariates, Incomplete Data, & Multiple Groups | |
|
9:00 -
10:15 |
Modeling
exogenous variables (time-invariant &
time-varying) |
|
10:45 -
12:00 |
Methods
for dealing with unbalanced and incomplete
data |
|
1:30 -
2:45 |
Modeling
multiple observed & unobserved (latent)
groups |
|
3:15 -
4:30 |
Day 2
Computer Session |
|
4:30 -
5:00 |
Questions
& Answers |
|
|
|
|
Day 3:
Multivariate Models for Longitudinal Data | |
|
9:00 -
10:15 |
Modeling
multivariate repeated measures over time |
|
10:45 -
12:00 |
Introduction
to dynamic systems and its applications to developmental
research |
|
1:30 -
2:45 |
Modeling
multivariate dynamic systems |
|
3:15 -
4:30 |
Day 3
Computer Session |
|
4:30 -
5:00 |
Questions
& Answers |
|
|
|