Keynote Address at Stats Camp, January 5, 2017

Title: Mplus Turns 18

Speaker: Bengt Muthén

Time and Place: 5:30-6:30pm, Thursday, January 5, 2017
Winter Stats Camp in Brea, CA. Embassy Suites by Hilton Brea,
900 E Birch Street, Brea, CA 92821

Abstract: This talk discusses current Mplus developments. After a brief overview of highlights from the new book Regression And Mediation Analysis Using Mplus, the talk describes the forthcoming Mplus Version 8. Mplus 8 offers the possibility to analyze intensive longitudinal data, such as obtained with ecological momentary assessments, experience method sampling, ambulatory assessments, and daily diaries, using dynamic SEM (DSEM). Typically, such data have a large number of time points, T = 20-150. Single-level (N=1) as well as multilevel (N > 1) models with random effects varying across subjects are handled. DSEM for N=1 time series analysis can be used to model the dynamics within a particular individual over time, for instance the reciprocal effects that momentary stress and rumination may have on each other. Additionally, N > 1 multilevel DSEM includes extensions of time series models, such that at level 1 a time series model is used to model the within-person dynamics of a process over time, while at level 2 we can model individual differences in the parameters that capture these dynamics. DSEM can handle multivariate outcomes as well as latent variables, and random effects can be both predicted from but also predictors of level 2 variables. DSEM is available with auto-regressive and moving-average components both for observed-variable models such as regression and cross-lagged analysis and for latent-variable models such as factor analysis, IRT, structural equation modeling, and mixture modeling. Applications include:

• multilevel AR(1) model with random mean, random AR, and random variance
• multilevel ARMA(1,1) model
• latent multilevel AR(1) model with multiple indicators
• latent multilevel VAR(1) model and dynamical networks
• dynamic SEM
• dynamic latent class analysis using hidden Markov and Markov-switching AR models

Details are provided about upcoming talks and workshops on DSEM.

This talk is given in conjunction with the Winter Stats Camp meeting. The talk is free and is followed by dinner. The dinner is included for all registered campers. If not registered, you can buy a meal ticket for the dinner.

Following are the Mplus short courses given at the meeting:

Introduction to Mplus, Brea, CA, January 5-7, 2017.
This 2.5 day short course will be taught by Elizabeth Grandfield. The course will be held in Brea, CA as part of the 2017 Winter Stats Camp. Click here for further information.

Longitudinal Growth Modeling with Mplus, Brea, CA, January 5-7, 2017.
This 2.5 day short course will be taught by Dr. Kevin Grimm. The course will be held in Brea, CA as part of the 2017 Winter Stats Camp. Click here for further information.

Practically Applied SEM Featuring Mplus, Brea, CA, January, 5-7, 2017.
This 2.5 day short course will be taught by Dr. Todd Little. The course will be held in Brea, CA as part of the 2017 Winter Stats Camp. Click here for further information.

Survival Analysis and Event History Models in Mplus, Brea, CA, January, 5-7, 2017.
This 2.5 day short course will be taught by Dr. Katherine Masyn. The course will be held in Brea, CA as part of the 2017 Winter Stats Camp. Click here for further information.