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