Latent Class Analysis: Part 1
*REGISTRATION FULL! Latent Class Analysis: Part 1
Two Part Seminar:
Friday, September 25, 12:00 - 1:30 pm
Friday, October 9, 12:00 - 1:30 pm
Interested in discovering hidden groups within your data? Join CRF Methodolgy Staff Consultant, Dongwei Wang, for this two-part seminar open to graduate students, post-docs and faculty.
Latent Class Analysis (LCA) is a statistical approach that identifies distinct subgroups of individuals based on their response patterns to multiple questionnaire items. This method is frequently applied in the social, behavioral, and health sciences, and focuses on person-centered rather than variable-centered statistical modeling.
This two-part seminar will provide an introduction to latent class analysis, including core concepts and assumptions of the method (1st part) as well as guiding participants how to conduct an LCA using Mplus using an example with real data (2nd part). R syntax for conducting an LCA will also be provided to participants.
Dongwei Wang
Dongwei serves as a Methodology Staff Consultant for the Center for Research on Families where she provides consultation services in study design and statistical analysis. She joined CRF in February 2018 after completing her graduate studies in educational psychology & quantitative research methods. Her expertise includes knowledge of a variety of statistical techniques and she continues to learn additional data management and research skills. She is primarily responsible for managing data analysis and providing consultation for faculty and students conducting family and adoption related research.