Introduction to Longitudinal Structural Equation Modeling

$475.00$595.00

December 9-11, 2020
Online Webinar via Zoom
Instructors:
 Dan Bauer and Patrick Curran
Software Demonstrations: Mplus, R, and Stata

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Category: Livestream, Workshops

Introduction to Longitudinal Structural Equation Modeling is a three-day workshop focused on the application and interpretation of structural equation models fitted to repeated measures data. The analysis of longitudinal data (i.e., the repeated measurement of the same cases over time) is fundamental in nearly all areas of social and behavioral science research. There are many structural equation models available for analyzing repeated measures data but the latent curve model is by far the most widely applied and will be the primary focus of this class. Topics include longitudinal designs, linear and non-linear latent curve models, predictors of growth, multivariate latent curve models, and observed and latent multiple group growth models (e.g., mixture models).

The course covers qualitative and quantitative techniques commonly used in the social/behavioral and health sciences – in-depth interviews, focus groups, participant-observation, surveys, and secondary data.  Less common, but highly effective, methods are additionally described and include Geographic Information Systems (GIS), document analysis, network analysis, free-listing, vignettes/factorial surveys, direct observation, and projective techniques.

Real-world examples are used to illustrate concepts/methods and highlight common challenges associated with designing and implementing mixed methods research. Although this course is pragmatic in nature, some time is devoted to the history of, and theory behind, the field of Mixed Methods.

Instructors

Daniel J. Bauer, Ph.D.

Dan Bauer is a Professor and the Director of the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina. He teaches primarily graduate-level courses in statistical methods, for which he has won teaching awards from the University of North Carolina and from the American Psychological Association. Endeavoring to make advanced statistical techniques more accessible, Dan has spent the last 15 years developing and teaching workshops on a variety of topics in both the United States and abroad, including multilevel modeling, mixture modeling, longitudinal data analysis, structural equation modeling, latent curve analysis, missing data analysis, measurement, and integrative data analysis. His research interests lie at the intersection of quantitative and developmental psychology, particularly the development of problem and health-related behaviors over childhood and adolescence. He has published over 65 scientific papers, served as Associate Editor for Psychological Methods, currently serves on the editorial boards of several journals, and has reviewed grants for the National Science Foundation, National Institutes of Health, and the Institute of Educational Sciences. He received an early career award from the American Psychological Association in 2009. For more details, see his academic web page.

Patrick J. Curran, Ph.D.

Patrick Curran is a Professor in the L.L. Thurstone Psychometric Laboratory in the Department of Psychology and Neuroscience at the University of North Carolina at Chapel Hill. Patrick has dedicated much of his career to the teaching and dissemination of advanced quantitative methods and has won teaching awards from UNC and from the American Psychological Association. Over the past 20 years, Patrick has taught over 50 national and international workshops on structural equation modeling, multilevel modeling, latent curve analysis, longitudinal data analysis, and general linear modeling. He draws on experiences from his own program of research on high-risk child development to guide and inform his quantitative teaching. Patrick’s program of research is primarily focused on the development and evaluation of statistical models of change over time, particularly as applied to studies of adolescent substance use. He has published over 70 scientific papers and chapters and has co-authored a textbook on latent curve modeling with Ken Bollen. Patrick has served as Associate Editor for Psychological Methods and currently serves on the editorial boards of seven scientific journals. For more details, see his academic web page.

Workshop Details

Reviews

In an effort to continually improve our instruction we obtain student evaluations with each course offering. Here is a sample of reviews from our prior 2020 online offering of of Longitudinal SEM:

This was an excellent course and I will definitely enroll in more workshops in the future. Thanks for your hard work putting this together!

Lectures are very engaging, and the light-hearted rapport between Dan and Patrick helps keep even dense material approachable. Good use of examples in every chapter. Online format worked really well-- more affordable and easier to do!

The teaching style is engaging. I was not able to attend live due to other commitments, but had time over the next week-- having the flexibility to view the webinars on my own time (and be able to pause and think on the concepts) was invaluable.

The options for demonstrations in different software programs - recorded sessions have let me learn both MPlus (my preference) and R - so great!

Dan, Patrick, and Ethan are so knowledgeable and their excitement makes me excited to learn. I really appreciate the objectives before each lesson as well as a summary followed by an actual example.

I really liked the online delivery of this workshop (I wouldn't have been able to attend otherwise!). Everything was explained very clearly and the banter between the three of you was excellent!

The way that Dan and Patrick are able to effectively breakdown the key points of using these methods. Worth its weight in gold.

I appreciate all the hard work and thoughtfulness that Dan, Patrick, and Ethan put into this workshop. I learned a lot and had a lot of fun!

I really enjoyed this workshop. I didn't expect the Zoom format to be as good as it was. I particularly enjoyed the breakout sessions in the afternoons for specific software demonstrations. Also, having the videos available to view again was helpful.

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