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Introduction to Latent Class & Latent Profile Analysis Workshop

Event Type
Conference/Workshop
Sponsor
CDIS - Center for Dissemination and Implementation Science
Location
College of Nursing Event Center, 845 S. Damen Ave, 3rd Floor
Date
Apr 3, 2020   8:30 am - 5:00 pm  
Speaker
Bethany Bray, PhD
Registration
Please register by March 20, 2020
E-Mail
cdis@uic.edu
Views
10

Workshop 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 Sciences1.

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:  Introduction to latent class analysis (LCA) and the LCA model; Model interpretation, model selection, model identification; Multiple-groups LCA, measurement invariance across groups, LCA with covariates, LCA with distal outcomes

In addition to the above topics, there will be several hands-on computer exercises, open discussion times, and question/answer periods.

1Collins, L. M., & Lanza, S. T. (2010). Latent class and latent transition analysis: With applications in the social, behavioral, and health sciences. New York: Wiley.

 

Please register by March 20, 2020: https://go.uic.edu/LCAWorkshop2020

 

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