November 26, 2019 at 9:00 am
We are excited to host Dr. Bethany Bray for a free, day-long workshop on Latent Class Analysis. The previous day she will deliver a colloquium discussion on innovative research processes for intervention science.
Dr. Bray is Associate Director for Scientific Outreach at the Center for Dissemination and Implementation Science, an interdisciplinary research center focused on the processes that promote or inhibit the adoption of evidence-based and empirically-supported interventions in real-life settings in the US and globally, and an Associate Professor in the Department of Medicine at the University of Illinois at Chicago.
When: Friday, November 22, 9 a.m. to 3 p.m.
Where: ITR offices (1100 S Washington Avenue)
RSVP: E-mail firstname.lastname@example.org
Objective: The goal of this one-day workshop is to help participants gain the theoretical background and applied skills to be able to address interesting research questions using latent class analysis. By the end of the workshop, participants will have fit a preliminary latent class model to data provided by the instructor. Participants will become familiar with introductory latent class analysis concepts covered in the recent book co-authored by Drs. Linda Collins and Stephanie Lanza and published by Wiley, Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences.
General description: Workshop time will be spent in lecture, software demonstrations, computer exercises, and discussion. At the workshop, participants will be provided with all lecture notes, select computer exercises and output, and suggested reading lists for future reference. The software used in this workshop will be SAS or Mplus.
Prerequisites: The prerequisite for this workshop is graduate-level statistics training for the behavioral or health sciences up through linear regression (usually two semesters of course work). Basic familiarity with SAS or Mplus and logistic regression is helpful, but not a prerequisite.
Computer requirements: Participants are strongly encouraged to bring a laptop so that they can conduct the computer exercises and analyze their own data. To conduct analyses at the workshop, SAS V9 or Mplus Version 8 must be installed on the laptop prior to arrival. Simulated data sets will be made available to participants for use during and after the workshop.
Topics to be covered:
Bethany C. Bray, Ph.D., is an Associate Professor in the Department of Medicine at the University of Illinois at Chicago and serves as Associate Director for Scientific Outreach at the Center for Dissemination and Implementation Science, an interdisciplinary research center focused on the processes that promote or inhibit the adoption of evidence-based and empirically-supported interventions in real-life settings in the US and globally. Dr. Bray also serves as the Director of the Dissemination, Software, and Technology Core of The Methodology Center at Penn State. Her research focuses on the development and application of advanced latent class modeling techniques to questions about the development of substance use, with a special emphasis on its relation to the development of comorbid risk behaviors, such as risky sexual behavior and gambling. Her technical work has focused on flexible approaches to adding predictors, outcomes, moderators, mediators, and inverse propensity score weights to latent class models. Dr. Bray’s work has been funded through the National Institutes of Health, the Alcohol Beverage Medical Research Foundation, and the National Center for Responsible Gaming, and has been published in a variety of methodological and applied journals, such as Structural Equation Modeling, Methodology, Journal of Studies on Alcohol and Drugs, and Journal of Adolescent Health. Her work has won awards from the National Council on Problem Gambling and the National Center for Responsible Gaming. Dr. Bray has taught graduate-level courses on research methods, psychometrics, and categorical data analysis, as well as hands-on workshops on latent class, latent profile, and latent transition analysis, and programming in SAS and R. She has extensive experience presenting technical material to applied scientists. For more information, visit her personal website at bethanycbray.wordpress.com.