MPlus Course Announcements

[David Marso]

<Place Holder>

[Mccoach, D. Betsy]

One day workshop on Finite Mixture Modeling for correlated data by Jeffrey Haring on May 26th, 2016 (MMM 2016 post-conference workshop)

Finite Mixture Modeling: Statistical Methods for Correlated Data by Jeffrey R. Harring

The post-conference workshop will be dealing with model-based clustering methods, commonly referred to as finite mixture modeling. These methods have been applied to a wide variety of cross-sectional and longitudinal data to account for heterogeneity in population characteristics. This workshop is intended as both a theoretical and practical introduction to finite mixture modeling as it pertains to statistical methods used to model correlated data. It is assumed that workshop attendees are well-grounded in basic statistical methods and have had some exposure to more advanced quantitative methods such as structural equation modeling and multilevel modeling.

Although finite mixture modeling has proven advantageous across many disciplines, the examples used in the workshop draw primarily from social science research, including the fields of education and psychology. Models will be presented in several formats — path diagrams, equations, and software syntax. Data, annotated Mplus script files along with annotated output for all of the examples will be provided. It is not required to bring Mplus on a laptop to attend the workshop — participants will still benefit from a comprehensive set of slides, input files and data so that they could practice running workshop examples on their own. Participants who have Mplus base package + combination add-on will be able to run the examples in real time during the workshop.

The cost of the full-day workshop is $125 if you register now-- early bird rates end soon.

For more information and to register, go to www.modeling.uconn.edu

Home | Modern Modeling Methods Conference www.modeling.uconn.edu The Modern Modeling Methods (M3) conference is an interdisciplinary conference designed to showcase the latest modeling methods and to present research related to ...

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[Mccoach, D. Betsy]

One day workshop -- Advances in Latent Variable Modeling using Mplus--- May 23, 2016 at University of Connecticut

(part of the Modern Modeling Methods conference- www.modeling.uconn.edu )

Home | Modern Modeling Methods Conference www.modeling.uconn.edu The Modern Modeling Methods (M3) conference is an interdisciplinary conference designed to showcase the latest modeling methods and to present research related to ...

Lecturers:  Bengt Muthén, Tihomir Asparouhov and Ellen Hamaker

This pre-conference workshop has two parts:

(1) Analyses you probably didn’t know that you could do in Mplus

* with highlights from the forthcoming book

Regression and Mediation Analysis Using Mplus (Muthen, B., Muthen, L., & Asparouhov, T.)

(2) Preview of the forthcoming Mplus Version 8

Part (1) will sample examples from a range of Mplus topics such as heteroscedasticity modeling for regression and mediation analysis using the CONSTRAINT option and random coefficient modeling; Heckman modeling; Bayesian approach to missing data on binary covariates; Monte Carlo studies of moderated mediation;sensitivity analysis of mediator-outcome confounding; counterfactually-defined causal effect mediation modeling with binary outcomes and binary and nominal mediators; and two-part mediation analysis with floor and ceiling effects.

Part (2) provides a preview of the forthcoming Mplus Version 8 which features new methods for analyzing intensive longitudinal data such as that obtained from ecological momentary assessments. Long time series for both n=1 and n >1 are discussed. The focus is on time-series analyses with auto-regressive and moving-average components both for observed-variable models such as regression and mediation analysis and for latent-variable models such as factor analysis and structural equation modeling.

Applications to be discussed include:

* multilevel AR(1) model with random mean and random AR parameter

* latent multilevel AR(1) model with multiple indicators and random innovation error

* latent multilevel VAR(1) model and dynamical networks

* dynamic SEM

* dynamic latent class analysis using hidden Markov and Markov-switching AR(1) models

 

For information or to register, go to www.modeling.uconn.edu

===================== To manage your subscription to SPSSX-L, send a message to [hidden email] (not to SPSSX-L), with no body text except the command. To leave the list, send the command SIGNOFF SPSSX-L For a list of commands to manage subscriptions, send the command INFO REFCARD

[David Marso]

Betsy!  Why are you posting MPlus course announcements in the SPSS Forum?
I am going to create a NEW TOPIC called MPlus Course Announcements and Move your OFF TOPIC posts there.  Please post ALL new MPlus course announcements under that topic in the future.