QMNET Talk: Advances in Latent Variable Modeling with Bayesian Estimation
Melbourne Centre for Data Science is proud to support the University of Melbourne Quantitative Research Methods Network (QMNET). The 2021 QMNET seminar series will run as weekly talks on a variety of topics that span disciplinary boundaries.
The 2021 series is kicking off with a two-part session focused on Mplus. Starting at 10am Melbourne time on Thursday 25 and Friday 26 March, this two-part Mplus feature includes talks from preeminent methodologists and Mplus program developers Bengt Muthén and Tihomir Asparouhov.
Bengt Muthén is Professor Emeritus at UCLA, former President of the Psychometric Society, creator of the Mplus program, and holds a PhD in statistics from the University of Uppsala.
Tihomir Asparouhov has made significant contributions to data analytics methods across multiple social and health science areas, including unique innovations in Mplus, and holds a PhD in mathematics from Caltech.
As many will know, Mplus is now the most commonly used latent variable modeling program in psychology and other areas, offering a variety of unique features for mixed data types under single- and multi-level models (including mixture models with observed and unobserved classes). With the upcoming release of Mplus version 8.6, a variety of new features will be implemented including automated procedures for Latent Transition Analysis and advances in Bayesian analysis.
Tihomir Asparouhov will discuss some advances in Latent Variable Modeling with Bayesian Estimation
Seminar Title: Advances in Latent Variable Modeling with Bayesian Estimation
When: Thursday 25 March, 10:00am - 11:30am AEDT (Melbourne time)
Where: This talk will be delivered via Zoom Webinar, please register here - http://bit.ly/QMNET12021
This talk will discuss recent advances in the Bayesian estimation of latent variable models that have been implemented in Mplus. Examples and simulation studies are presented featuring latent variable centering, dynamic structural equation models, interactions of latent variables and models with count and nominal variables.
To sign-up for the QMNET email list and stay alerted about upcoming talks, please visit this website. If you can’t make the talks, they will be uploaded to QMNET’s YouTube channel, where you can also view past talks.