# Pre-Conference Workshop

### Mplus Workshop

Bengt Muthen

### Mplus 8: Dynamic SEM

Ellen L. Hamaker, Tihomir Asparouhov & Bengt Muthen

### Dynamic Structural Equation Models

Tihomir Asparouhov, Bengt Muthen & Ellen L. Hamaker

# 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*

**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*

**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*

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

*Ji An, Laura M. Stapleton*

**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*

**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 *

**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*

**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*

**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*

**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