2017 Preliminary Schedule

To see pdf of full draft program, click here.

Monday – May 22, 2017

PreConference Workshop: OpenMx XSEM with Applications to Dynamical Systems Analysis


OpenMx XSEM with Applications to Dynamical Systems Analysis

Steven Boker

Laurel Hall 102

8:30 am – 5:00pm

The first half of the workshop will introduce OpenMx and the specification of simple latent variable models within R as well as provide an overview of some of its more advanced features such as full information, definition variables, parallelizing, ordinal thresholds, multiple groups, and mixture distributions. The second half of the workshop will present dynamical systems analysis as a continuous-time generalization of time series models using systems of differential equations.

Lunch is on your own.  Several options are available in the Student Union.


Tuesday – May 23, 2017

Coffee, continental breakfast, and registration

7:30 AM – 8:30 AM

Laurel Hall Atrium


8:30 AM – 8:45 AM

Laurel Hall 102

Opening Keynote: Steven Boker

8:30 AM  – 10:15 AM

Laurel Hall 102

Dynamical Systems Analysis in the Context of Statistical Methods and Research Design

Steven Boker

University of Virginia

Over the past three decades, there has been a great deal of work on integrating the ideas and generative models produced in particular by mathematicians, physicists, and chemists into methods and algorithms that can be useful to test models on data from the social, behavioral, and medical sciences.  Historically, Hotelling suggested in 1927 that differential equations should be used for models of change, but despaired that the problem was intractable using available tools.  Stochastic differential equations and Kalman Filters were introduced in the 1950’s and 60’s.  The field of dynamical systems enjoyed a burst of popularity in the 1970’s and 80’s with the co-occurring introduction of the notions of chaotic systems, fractal dimensions, and the availability of desktop computers that let one explore these generative models.  There followed a period of about two decades where methods for estimating parameters of differential equations began to become better developed, but the intensive multivariate, multi-person time series required to identify such models were not yet available.  Finally, in the past 10 years we have seen the emergence of widely available technology such as smart phones that can track intensively measured multivariate time series from many individuals.  This talk will provide a brief history of the field dynamical systems and a way of organizing the questions we might ask of intensively time-sampled multivariate multi-person data.  Some of the main dynamical systems data analytic methods available will be overviewed and placed into context of the questions for which they are best suited.  A short discussion and rationale for models for self-regulating phenomena will be presented.  The talk will discuss some of the problems associated with modeling nonstationary systems, why we should care, and a review of some of the methods that are in use for estimating and dealing with non-stationarity.  The talk will conclude with a brief introduction to the problem of privacy preserving analytics for data on personal devices and one potential solution to this problem: distributed likelihood estimation.


Concurrent Session I: 10:30 AM – 12:00 PM

Session 1A: Symposium – Mixture models are measurement models, too! Measurement invariance and differential item functioning in latent class analysis

Laurel Hall 202

Paper Authors
Unmodeled Differential Item Functioning (DIF) in Latent Class Analysis: A Monte Carlo Simulation Veronica Cole

Katherine Masyn

Dan Bauer

Measurement Invariance in Multiple-Group Latent Class Analysis Katherine Masyn

Veronica Cole

Dan Bauer

Regression-based approaches to DIF detection in latent class models Veronica Cole

Katherine Masyn

Dan Bauer

Session 1B: Modeling Educational Effects

Laurel Hall 205

Paper Authors
Efficacy of a Scaled-Up First Grade Reading Intervention for English Language Learners Paulina A. Kulesz
Application of Cross-Classified Multiple Membership Growth Curve Modeling in a Study of the Effect of School Mobility on Students’ Academic Performance Bess. A Rose
A Piecewise Latent Growth Model to Study the Effects of a College Admissions Test Overhaul Paulina Pérez Mejias

Alberto F. Caberera

 Session 1C: Survey Research Models

Laurel Hall 206

Paper Authors
Footballs, Eigenvectors, and Psychometrics: An Outlier Detection Proposal for Likert-Type Survey Data Allen G. Harbaugh
Item Response Theory and Ranking of Congressional Voting Behavior Holmes Finch

Gregory Marchant

Alicia Hazelwood

The Use of Topic Modeling to Analyze Open-Ended Survey Items Holmes Finch

Maria Hernandez Finch Constance McIntosh

Claire Braun

 Session 1D: Measurement and Psychometrics

Laurel Hall 301

Paper Authors
The α and the ω of Congeneric Test Theory: An Extension of Reliability and Internal Consistency to Heterogeneous Tests Joseph F. Lucke
Using the Nominal IRT Model for Recency of Drug Use Items A.R. Georgeson
Exploring Measurement Invariance Using CTT and IRT Techniques Noela Haughton

Priti Signh


Lunch –Student Union Ballroom 12:00-1:15

Concurrent Session II: 1:15 PM – 2:15 PM

Session 2A: IRT Methods and Applications

Laurel Hall 202

Paper Authors
A Conditional Joint Modeling Approach for Compensatory Multidimensional Item Response Model and Response Times Kaiwen Man

Hong Jiao

Peida Zhan

Chi-Yu Huang

Detection of Differential Item Functioning in the Context of Clustered Data: A Comparison Study Graham G. Rifenbark

H. Jane Rogers

 Session 2B: Mediation Models

Laurel Hall 205

Paper Authors
Multimethod Moderated Mediation Analysis using a Categorical Multigroup Design Kaylee Litson

Christian Geiser

G. Leonard Burns

Tools for computationally efficient power and sample size determination for mediation models Alexander M. Shoemann

Aaron J. Boulton

Stephen D. Short

 Session 2C: Intra and Inter-individual Variation Modeling

Laurel Hall 206

Paper Authors
Bayesian/Mixed-Effects Nonstationary Latent Differential Equation Models Mauricio Garnier-Villarreal

Pascal R. Deboeck

Davis K. Johnson

Amber Watts

 Session 2D: Modeling Composite – Based Populations

Laurel Hall 301

Paper Authors
Modeling Composite-Based Populations Using Composite-Based Methods Jan-Michael Becker

Edward E. Rigdon

Arun Rai


Concurrent Session III: 2:30 PM – 3:30 PM

Session 3A: Casual Inference

Laurel Hall 202

Paper Authors
The mechanics of omitted variable bias: Bias amplification and cancellation of offsetting biases Yongnam Kim

Peter M. Steiner

Marginal Structural Models for Estimating the Effects of Chronic Community Violence Exposure on Youth Aggression and Depression Traci M. Kennedy

Edward H. Kennedy

Session 3B: Probability Index Models

Laurel Hall 205

Paper Authors
Probability Index Models Jan De Neve

Session 3C: Bayesian Single Case Models

Laurel Hall 206

Paper Authors
Bayesian Testing in Single-Case Research: A Forward Paradigm Shift Tyler Hicks

Jason Travers

Leslie Bross

Design-comparable Effect Sizes for Single-Case Research: A Bayesian Approach Tyler Hicks

Eun Sook Kim

Seang Hwane Joo

Jeong Hoon Choi

John Ferron

Jeff Kromrey

Session 3D: Modeling Change and Context

Laurel Hall 301

Paper Authors
Variance Estimation of Health Disparity Measures in Complex Survey Settings Meng Qui
Affective Red Zones: An examination of bivariate change in context Joel Steele

David Sbarra

Emilio Ferrer

Concurrent Session IV: 3:45 PM – 4:45 PM

Session 4A: Symposium – Applications of Multilevel Models with Latent Variables to K-12 Education

Laurel Hall 202

Symposium Authors
Different Levels of Leadership for Learning: Investigating Differences Between Teachers Individually and Collectively Using Multilevel Factor Analysis of the 2011-12 Schools and Staffing Survey Jared Boyce

Alex J. Bowers

Site Section in School District Research: A Measure of Effectiveness Using Hierarchical Longitudinal Growth Models of Performance Alex J. Bowers
Feasibility of Increasing Access: How Does Instructional Leadership Influence Opportunity to Learn in U.S. and Belgium? Angela Urick

Allison Wilson

Timothy G. Ford

Session 4B: Longitudinal and Multilevel SEM

Laurel Hall 205

Paper Authors
Estimating Latent trends in Multivariate Longitudinal Data via Parafac2 with Functional and Structural Constraints Nathaniel E. Helwig
Toward Multilevel Structural Equation Modeling with Latent Quadratic Effects Joshua Pritikin

Session 4C: Power and Program Evaluation

Laurel Hall 306

Paper Authors
The Illusion of Intended Statistical power: Avoiding Underpowered Replication Studies via Effective Sample size Planning Samantha Anderson

Scott Maxwell

Ken Kelley

Using Aggregate Unit Pre/Post Assessment Results Across Classrooms: A Monte Carlo Study Proof of Concept in Program Evaluation Matthew Lavery

Session 4D: Suppression / Non-Monotonic Effects

Laurel Hall 301

Paper Authors
Suppression Effects in Regression: The Case of Learning Strategies and Academic Achievement Eric Loken

Xiaowen Liu

A New Model for Non-Monotonic Effects David Weakliem


Poster Session and Reception

     5:00 PM – 7:00 PM

     Student Union Ballroom


Wednesday – May 24, 2017

Concurrent Session V: 8:00 AM – 9:00 AM

Session 5A: Symposium – Considerations When Utilizing Indicators to Evaluate Latent-level Differences across Time and Groups

Laurel Hall 301

Symposium Authors
Longitudinal Factorial Invariance: Measuring and Modeling the Same Construct Over Time Marilu Isiodia
Implications of Establishing Internal Consistency but Not Factorial Invariance on Growth Model Parameter Marilu Isiodia


Session 5B: Papers – Dealing with Non-normality

Laurel Hall 305

Paper Authors
Effects of Non-normality of Residuals in Hierarchical Linear Modeling Kaiwen Man

Yating Zheng

Laura Stapleton

Evaluation of Supplemental Samples in Longitudinal Research with Non-normal Missing Date Jessica Mazen


Session 5C: Evaluating Balance for Causal Inference

Laurel Hall 306

Paper Authors
Evaluating Balance for Causal Inference: An Illustration of the cobalt Package in R Noah Greifer


Concurrent Session VI: 9:15 AM – 10:45 AM

Session 6A: Workshop by Craig Enders: Multiple Imputation for Multilevel Data

Laurel Hall 301

Special Workshop Presenter
Multiple Imputation for Multilevel Data (Part I) Craig Enders

Session 6B: Graphical Methods for Understanding SEM Models

Laurel Hall 305

Paper Authors
Graphical Methods for Understanding SEM Models Keke Lai

Samuel Green

Roy Levy


Session 6C: What the Dutch can do with prior information (and you can too)

Laurel Hall 306

Symposium Authors
Bayesian Structural Equation Models with Small Samples Sanne Smid

Dan McNeish

Rens van de Schoot

Using the Data Agreement Criterion to Rank Experts’ Beliefs Duco Veen

Diedrick Stoel

Rens van de Schoot

Testing ANOVA replications by means of the Prior Predictive p-value Mariëlle Zondervan-Zwijnenburg

Rens van de Schoot

Herbert Hoijtink


Session 6D: SRM, Dyadic, and Social Network Analyses

Laurel Hall 106

Paper Authors
Applying Modern Methods for Missing Data Analysis to the Social Relations Model Terrence Jorgenson
Modeling Parent’s Reports of Children’s Gender-Type Behavior Over Time with an Indistinguishable Dyads Common Fate Growth Model Randi Garcia

Abbie Goldberg

Teacher Social Network Change over Time: How do Longitudinal Modeling Approaches Compare? Elizabeth Dietrich

Nathan Abe

Elizabeth Sanders

Jessica Thompson



Concurrent Session VII: 11:00-12:30

Session 7A: Symposium – Recent Advances in Regression Modeling with Complex Real-World Data

Laurel Hall 301

Paper Authors
Robust Finite Mixture Modeling of Censored Data Using the Multivariate Student-t Distribution Victor Lachos
Leveraging Mixed and Incomplete Outcomes via a Mixed-Response Reduced Rank Regression Kun Chen
Efficient Stagewise Regression for Correlated Data with Interaction Selection Gregory Vaughan

Session 7B: Symposium – Dynamic Methods for Multivariate Data Analyses

Laurel 305

Paper Authors
Individual as Dynamic Networks: Merging of Intraindividual variability, Network Analysis and Experience Sampling Xiao Yang,

Nilam Ram, Scott Gest,

David Lydon-Staley, David Conroy,

Aaron Pincus,

Peter Molenaar

Capturing Developmental Change in Regulation Processes using Dynamic Systems Model: Borrowing Differential Equations from Ecology Lizbeth Benson,

Nilam Ram,

Jonathan Helm,

Cynthia Stifer

A Dynamic Model of Heart Rate Synchrony of Mother-Child Dyads in the Strange Situation Gustav Sjobeck

Steven Boker

Windowed Recurrence Quantification for the Analysis of Dynamical Systems Allison Gray

Timothy Brick

Windowed Spectral Coherence: A Method of Evaluating Cross-Spectral Coherence Between Nonstationary Time Series at Multiple Time-Lags Robert G. Moulder

Session 7C: Educational & Developmental Applications

Laurel Hall 106

Paper Authors
Self-Regulatory Climate Measures Mwarumba Mwavita

Kathy Curry

Confirming the Factor Structure of the Critical Thinking Assessment Test: A Bayesian CFA Approach Chi Hang Bryan Au

Allison Ames

Longitudinal Studies on Night Sleep Trajectories throughout Infancy Shaun Goh, Daniel Goh, Teoh Oon Hoe, Seang Mei Saw, Fabian Yap, Yap Seng Chong, Anqi Qiu, Birit Brokeman

Session 7D: Workshop- Craig Enders- Multiple Imputation for Multilevel Data

Laurel Hall 102

Special Workshop Presenter
Multiple Imputation for Multilevel Data (Part II) Craig Enders

Lunch  – 12:30-1:30

Student Union Food Court



Keynote: 1:30 PM – 3:00 PM

Model Implied Instrumental Variables: A New Orientation to Structural Equation Models

Kenneth Bollen                                                                                 


Concurrent Session VIII: 3:15 PM – 4:45 PM

Session 8A: Advances in Mixture Modeling

Laurel Hall 301

Paper Authors
A framework of R-squared measures for single-level and multilevel regression mixture models Jason Rights

Sonya Sterba

Methods of Covariate Inclusion in Latent Transition Analysis: A Monte Carlo Simulation Study Ai Ye

Jeffery Harring

Luke Rinne

Statistical Modeling of EEG Brain Mapping Data: Challenges and Opportunities Jay Magidson


Session 8B: Modeling Health Disparities

Laurel Hall 305

Paper Authors
Assessing health disparities in intensive longitudinal data: gender differences in Granger causality between primary care provider and emergency room usage, assessed with Medicaid insurance claims Emil Coman

Yinghui Duan

Daren Anderson

How to peel oranges into apples: Finding causes and effects of health disparities with difference scores built by 1-on-1 matching Emil Coman

Helen Wu

A review of modern methods of estimating the size of health disparities Emil Coman

Helen Wu


Session 8C: Symposium – Advances in multivariate multilevel models for cross-sectional, longitudinal, and repeated cross-sectional data

Laurel Hall 306

Symposium Authors
Estimating a piecewise growth model with longitudinal data that contains individual mobility across clusters Audrey Leroux
A cluster-level latent transition model for multivariate multilevel repeated cross sectional data Katherine Masyn

Rashelle Musci

Amie Bettencourt

Albert Farrell



Thursday – May 25, 2017

Post Conference workshop

Kenneth Bollen & Zachary Fisher- Model Implied instrumental variables using MIIVsem


Model Implied instrumental variables using MIIVsem

Kenneth Bollen and Zachary Fisher

This workshop will discuss more robust estimators that better represent real world conditions.  Model Implied Instrumental Variable (MIIV) estimators are more robust to the approximate nature of our models and are asymptotically distribution free.  In addition, they can test equation level fit so as to better localize model misspecification.  The workshop will give an overview of the free R package MIIVsem.  We will introduce the key ideas behind MIIV estimation; we will show how MIIVsem automates the selection of MIIVs, the estimation of coefficients and standard errors, and provides over identification tests for equations.  These and other features will be introduced and illustrated with a variety of empirical examples.