MMM 2016 Presentations and PDFs

Pre-Conference Workshop

Mplus Workshop

Bengt Muthen

MPLUS workshop

Mplus 8: Dynamic SEM

Ellen L. Hamaker, Tihomir Asparouhov & Bengt Muthen

Mplus: Dynamic SEM

Dynamic Structural Equation Models

Tihomir Asparouhov, Bengt Muthen & Ellen L. Hamaker

Dynamic SEM


Keynote Address

Which Methods Do We Need for Intensive Longitudinal Data?

Bengt Muthen, Tihomir Asparouhov & Ellen L. Hamaker

Which Methods Do We Need for Intensive Longitudinal Data


Papers

A comparison of methods for imputation of missing covariate data prior to propensity score analysis

Walter Leite, Burak Aydin, Sungur Gurel, Duygu Cetin-Berber

A comparison of methods for imputation of missing covariate data prior to propensity score analysis

 

 

Application of Generalized Structured Component Analysis to Item Response Theory

Ji Hoon Ryoo

Application of Generalized Structured Component Analysis to item response theory

 

Assessing the convergent and discriminant validity of person x situation interaction effects: Development of a multi-method model for measuring situation-specific traits.

Fred Hintz, Christian Geiser, Saul Shiffman

A Latent State-Trait Model for Analyzing States, Traits, Situations, Method Effects, and Their Interactions

 

Bayes Factor null hypothesis tests are still null hypothesis tests

Matt N. Williams

Bayes Factor Null Hypothesis Tests are still Null Hypothesis Tests

 

Conducting propensity score analysis with structural equation models using MPLUS

Walter Leite, Laura Stapleton

Propensity Score Analysis with SEM

 

Does hearing fluctuate over time in Meniere’s Disease? A growth mixture modeling approach for categorizing patterns of change over time.

Laurel Fisher, Michael Hoa

Hearing Changes in Meniere’s Disease Categorizing Patterns of change over time

 

Don’t Be Fancy. Impute Your Dependent Variables!

Kyle M. Lang, Todd D. Little

Don’t be Fancy. Impute Your Dependent Variables!

 

Efficient estimation of variance components in nonparametric mixed-effects models with large samples

Nathaniel E. Helwig

Efficient estimation of variance components in nonparametric mixed-effects models with large samples

 

Evaluating the Use of Propensity Scores with Multilevel Data

Noah Greifer, Felix Thoemmes

Evaluating the Use of Propensity Scores with Multilevel Data

 

In the Pursuit of Group Balance on a Known Covariate in a Small-Scale Experiment: A Monte Carlo Study of the Efficacy of Standard Approaches

Tyler Hicks, Jeffrey Kromrey

In the Pursuit of Balance Examining standard approaches to randomized Experiments

 

Introduction to Relational SEM and an Efficient Computational Strategy for Relational SEM

Joshua Pritikin

Unbelievably fast estimation of multilevel structural equation models

 

Investigating Causal DIF via Propensity Scores Methods

Amery Wu, Yan Liu, Bruno Zumbo

Balancing Covariates to Disentangle and Detect DIF Item Bias and Item Impact

 

Latent class analysis for intensive longitudinal data, Hidden Markov processes, Regime switching models and Dynamic Structural Equations in Mplus 8

Tihomir Asparouhov

Latent class analysis for intensive longitudinal data, Hidden Markov processes, Regime switching models and Dynamic Structural Equations in Mplus

 

Misleading Results From Combining Predictions of Residualized and Simple Gain Scores in the Same Longitudinal Analyses

Robert E. Larzelere, Isaac J. Washburn, Mwarumba Mwavita, Ronald B. Cox, Jr. Taren Swindel

Misleading Results from Combining Residualized and Simple Gain Scores in Longitudinal Analyses

 

Modelling menstrual cycle length and variability at the approach of menopause by using hierarchical change point models

Michael Elliott, Xiaobi Huang, Sioban Harlow

Bayesian Change Point Models for Analysis of Menstrual Diary Data at the Approach of Menopause

 

Multiple Imputation in Finite Mixture Modeling

Daniel Y. Lee

Multiple Imputation in Finite Mixture Modeling

 

Non-Linear Growth Models as Measurement Models: A Second-Order Growth Curve Model for Measuring Potential

Dan McNeish, Denis Dumas

Non-Linear Growth Models as Psychometric Models A Second-Order Growth Curve for Measuring potential

 

Optimizing Random Forests Propensity Scores

Heining Cham, Landon Hurley, Yue Teng

Optimizing Random Forests propensity score

 

Regression Trees for Longitudinal and Clustered Data: Methods, Applications, and Extensions

Jeffrey Simonoff

Regression Trees for Longitudinal and Clustered Data Methods, Applications, and Extensions

 

Rethinking Complexity in Item Response Theory Models

Wes Bonifay

Rethinking Complexity in item response theory models

 

Right-Sizing Growth Mixture Models for Longitudinal Data

Phillip Wood, Wolfgang Wiedermann, Douglas Steinley

Right-Sizing Growth Mixture Models for Longitudinal Data

 

Structural Equation Modeling in Archival Accounting Research: An Application to Disclosure and Cost of Capital

Steven Utke, Lisa Hinson

Structural Equation Modeling in Archival Accounting Research An Application to Disclosure and Cost of Capital

 

The Impact of Bayesian Priors on Specification Search of Structural Equation Modeling

Xinya Liang, Yanyun Yang

The Impact of Bayesian Priors on Specification Search of Structural Equation Modeling

 

The matching effect of intra-class correlation (ICC) on the estimation of contextual effect: A Bayesian approach to multilevel modeling

Hawjeng Chiou

The matching effect of intra-class correlation (ICC) on the estimation of contextual effect A Bayesian approach of multilevel modeling

 

The Use of Nonparametric Propensity Score Estimation with Data Obtained Using a Complex Sampling Design

Ji An, Laura M. Stapleton

THE USE OF NONPARAMETRIC PROPENSITY SCORE ESTIMATION WITH DATA OBTAINED USING A COMPLEX SAMPLING DESIGN

 

Using multi-membership multi-level VAM model to evaluate teacher and school effects

Eunkyeng Baek, Chunhua Cao

Using multi-membership multilevel VAM model to evaluate teacher and school effects

 

What’s for dynr: A package for linear and nonlinear dynamic modeling in R

Lu Ou, Michael Hunter, Sy-Miin Chow

What’s for dynr A package for linear and nonlinear DYNamic modeling in R

 

 


Posters

Analysis of Nutrition Judgments Using the Nutrition Facts Panel

Kristina A. Carter, B.A., Claudia González-Vallejo,  Ph.D., & Bethany D. Lavins, M.S.

Analysis of Nutrition Judgments Using the Nutrition Facts Panel

 

An Exploration of Two Artifact Correction Methods for Correcting Correlated Reliabilities in Meta-analysis

Lei Zhao

An Exploration of Two Artifact Correction Procedures for Correcting Correlated Reliabilities in meta-analysis

 

Applying the two-stage meta-analytic structural equation modeling approach to test the theory of planned behavior of alcohol consumption

Ivan Jacob Agaloos Pesigan, Shu Fai Cheung

Applying the two-stage Meta-Analytic Structural Equation Modeling approach to test the theory of planned behavior of alcohol consumption

 

Bayesian multilevel factor analysis of the Emotion Regulation Checklist: Examining cross-level and longitudinal measurement invariance

Steven J. Pierce, KyungSook Lee, Holly Brophy-Herb, Laurie Van Egeren

Bayesian multilevel factor analysis of the emotion regulation checklist

 

Handling item non-response in Structural Equation Modelling with ordinal variables

Myrsini Katsikatsou, Irini Moustaki

Handling item non-response in Structural Equation Modelling with ordinal variables

 

Impact of South Carolina’s TANF Program on Earnings of New Entrants Before and During the Recent Economic Recession

Qiduan Liu, Cynthia Flynn

Impact of South Carolina’s Temporary Assistance to Needy Families (TANF) Program on Earnings of New Entrants

 

Iterative Target Rotation with a Suboptimal Number of Factors

Nicole Zelinsky

Iterative Target Rotation with a Suboptimal Number of Factors

 

Modeling Age-Related Changes in Emotion Regulation within a Hierarchical Latent Stochastic Differential Equation Framework

Julie Wood, Nilam Ram, Pamela Cole, Sy-Miin Chow

Modeling age-related changes in Emotion regulation within a Hierarchical latent stochastic differential equation framework

 

Models for Understanding & Predicting Consumer Perception of Radiance

Supriya Satwah, Anthony Cece

Models for Understanding & Predicting Consumer Perception of Radiance

 

Researching Administrative Records Usage in the Nonresponse Followup Operation of the 2020 Census

Andrew D. Keller, Scott M. Konicki

Researching Administrative Records Usage in the Nonresponse Followup Operation of the 2020 Census

 

Structural Equation Modeling In Diagnosis of the Marketing Research Effectiveness in the Enterprises – Problems and Solutions for the SEM Models with Many Indicators and Latent Variables

Piotr Tarka, PhD

Problems and Solutions with Many Indicators and Latent Variables in CFA-SEM Models

 

The Impact of Item Scale Misspecification and Dichotomization on Class and Parameter Recovery in LCA of Count Data

Kathryn S. Macia, Robert E. Wickham

The Impact of Item Scale Misspecification and Dichotomization on Class and Parameter Recovery in LCA of Count Data

 

Time and Other Considerations in Mediation Design

Meghan Cain

Time and Other Considerations in Mediation Design

 

Understanding Mathematics Performance from Student Attitudes and Behaviors: A Multiple-Group Analysis Using International Student Assessment Data

Kalina Gjicali, Stefan Krumm, Anastasiya A. Lipnevich

Understanding Mathematics Performance from Student Attitudes and Behaviors