Preliminary Schedule

Monday, June 24th

Pre-Conference Workshop – Sacha Epskamp

9:00 am – 5:00 pm- McHugh Room 102

Network Psychometrics with psychonetrics in R

Sacha Epskamp

The freely available psychonetrics package for R provides an encompassing framework for psychometric network modeling, combining typical practices in Structural Equation Modeling (SEM) with undirected network modeling now commonly used in network psychometrics. The psychonetrics package can be used for various types of data (cross-sectional, time-series and panel data), and not only allows researchers to explore relations between observed and latent variables through the use of network models, but also allows researchers to perform confirmatory tests on given network structures and to test for homogeneity in (latent) network structures across groups.
This workshop will introduce participants to the psychonetrics package and will teach participants to:

– interpret undirected multivariate network models
– understand differences between within- and between-person effects and cross-sectional and longitudinal data
– install, load and use the psychonetrics package
– use psychonetrics for exploratory network estimation (from cross-sectional, N=1 time-series and panel data)
– use psychonetrics for confirmatory network testing
– use psychonetrics to combine latent variable models with network models
– use psychonetrics for multi-group invariance and homogeneity testing

Familiarity with R and having R and the psychonetrics package installed are recommended for attending the workshop.

Tuesday, June 25th

Continental Breakfast and Registration                                         7:30 – 8:30 am
McHugh Hall Atrium

Welcome and Opening Keynote –                                8:30 – 10:10 am

McHugh Hall 102

The Nature of the Measurement Game: Psychological Constructs as Complex Systems

Denny Borsboom

In psychology, the relation between observables and theoretical constructs has traditionally been conceptualized in terms of measurement: observables (e.g., symptoms like self-reproach and suicidal ideation) are viewed as noisy measures of a latent psychological construct that acts as a common cause (e.g., major depression). Important psychometric models, such as the Item Response Theory model and the Factor Analysis model, represent this hypothesis in a statistical structure, which allows researchers to evaluate the tenability of their measurement hypothesis by fitting the model to data. In the past decade, I have investigated an alternative way of thinking, in which observables are not indicators of a latent construct but interact with one another in a complex system; for instance, the symptom of self-reproach may facilitate suicidal ideation quite independently of whether any latent construct of depression exists or not. Such interactions can statistically be represented in a network model, which allows one to translate the abstract theory into a concrete statistical structure. The development of these models has accelerated in the past decade, and they have become popular in various subdomains of psychology. In this talk, I discuss these models from a psychometric perspective, and evaluate their plausibility as alternatives to traditional measurement models. I argue that network approaches fundamentally change the nature of the measurement game, and that we have only just begun to evaluate the consequences of these changes.

 10:10 – 10:30 am Break – McHugh Hall Atrium

Concurrent Paper Session 1                     Tuesday 10:30 am – 12:00 pm

Session 1A: Disaggregating Level-Specific Effects and Quantifying Explained Variance in Cross-Classified Multilevel Models

Room 201

Paper Authors
Disaggregating Level-Specific Effects and Quantifying Explained Variance in Cross-Classified Multilevel Models Jason D. Rights

 

Session 1B: Modeling Spatial Data

Room 202

Paper Authors
Modern Spatial Path Analytic Tools to Investigate the Geography of Medical Debt across a US State Emil Coman
Samuel Bruder
Corey Grantham
Investigating the Life Expectancies Differences in the US by Comparing Naïve and Spatial Analytic Methods across Census Tracts, Counties, and States Emil Coman
Jason Byers
Blair Johnson
Sandro Steinbach
Peter (Xiang) Chen
Stewart Fotheringham

 

Session 1C: Measurement Invariance and Moderation

Room 205

Symposium Authors
Invariance: What Does Measurement Invariance Allow Us to Claim? John Protzko
A Simulation Study of Alignment Structure Equation Modeling in Assessing Measurement Invariance with Bi-factor Models Qingzhou Shi
Joni M. Lakin
Chunhua Cao
Modeling Construct Change Over Time Amidst Potential Changes in Construct Measurement: A Longitudinal Moderated Factor Analysis Approach Siyuan Marco Chen
Daniel J. Bauer

 

Session 1D: Advances in Mixture Modeling

Room 206

Paper Authors
Bias-Correction and Robustness for the Latent Profile Transition Analysis with Random Intercepts and Auxiliary Variables: Simulation and Empirical Analyses Hawjeng Chiou
Ming-Chi Tseng
Pi-Fang Lin
Signals of Uncertainty and Misspecification in Latent Class Analysis Zachary Collier
Joshua Sukumar
Evaluating Bayesian Transition Diagnostic Classification Models for Reporting Within-Year Progress Jeffrey C. Hoover
W. Jake Thompson

 

Lunch                                                                               Tuesday 12:00 – 1:10 pm

Student Union Ballroom

3rd floor, Student Union

 

Concurrent Paper Session 2                                Tuesday 1:10 – 2:10 pm

Session 2A: Multilevel R-squared Effect Size Measures and Bootstrapped Confidence Intervals

Room 201

Paper Authors
Multilevel R-squared Effect Size Measures and Bootstrapped Confidence Intervals Mairead Shaw
Jason D. Rights
Jessica Kay Flake

 

Session 2B: Refining Mediation Analysis in Latent Growth Models

Room 202

Paper Authors
Refining Mediation Analysis in Latent Growth Models with Sensitivity to Omitted Confounders Davood Tofighi

Session 2C: nMAX: Restoring Caution and Integrity to the Power Analysis Process

Room 205

Paper Authors
nMAX: Restoring Caution and Integrity to the Power Analysis Process Greg Hancock
Yi Feng

Session 2D: Dealing with Missing Data

Room 206

Paper Authors
Comparing Alternatives to the Three-Form Planned Missing Data Design Alexander M. Schoemann
E. Whitney Moore
Emily M. Meier
Kelly L. Reburn
Mark C. Bowler
Estimating the Average Treatment Effect in Longitudinal Randomized Controlled Trials with Missing Data: Will It Help to Add a Quadratic Term? Manshu Yang
Lijuan Wang
Scott E. Maxwell

 

2:10 – 2:30 pm Break – McHugh Hall Atrium

Concurrent Paper Session 3                                Tuesday 2:30 – 3:30 pm

Session 3A: Innovations in Longitudinal Analysis

Room 201

Paper Authors
An Estimation Approach for Time-Varying Effect Models Using Cubic Splines Jingwei Li
Donna Coffman
Megan E. Piper
Deriving Models of Change with Interpretable Parameters: Linear Estimation with Nonlinear Inference Ethan McCormick

 

Session 3B: Machine Learning and Modeling

Room 202

Paper Authors
Machine Learning Structural Equation Modeling and Falsificatory Data Analysis Michael Truong
Ji Yeh Choi
Unsupervised Survey Bot Detection: In Search of High Classification Accuracy Carl F. Falk
Amaris Huang
Michael J. Ilagan

 

Session 3C: Multilevel Modeling in Stata: A Teaching Demonstration

Room 205

Paper Authors
Multilevel Modeling in Stata: A Teaching Demonstration Meghan Cain

 

Session 3D: Understanding Composite-Based Methods via Regression Component Analysis

Room 206

Symposium Authors
Understanding Composite-Based Methods via Regression Component Analysis Edward Rigdon

 

Session 3E: Issues in Factor Analysis

Room 301

Paper Authors
How Many Factors? Comparing Factor Retention Criteria in Exploratory Factor Analysis Briana Oshiro
D. Betsy McCoach
Jessica Kay Flake
Fitting CFA Models with a Mixture of Continuous and Categorical Observed Variables Christine DiStefano
Dexin Shi
Guyin Zhang

 

3:30 – 3:50 pm Break

Concurrent Paper Session 4                                Tuesday 3:50 – 4:50 pm

Session 4A: A Framework for Modeling Dyadic Discrepancy

Room 201

Paper Authors
A Framework for Modeling Dyadic Discrepancy Robert E. Wickham
Kathryn S. Macia

Session 4B: Graphical Modeling

Room 202

Session 4B: Graphical Modeling

Room 202

Paper Authors
Application of Gaussian Graphical Models to Visualization and Prediction of Assessment Outcomes James J. Thompson
EDA-graph: Graph Signal Processing of Electrodermal Activity for Emotional States Detection Luis Roberto Mercado Diaz

Yedukondala Rao Veeranki

Fernando Marmolejo-Ramos

Hugo F. Posada-Quintero

Session 4C: Factor Models for Dynamics

Room 205

Paper Authors
Beyond Cross-sectional Factor Analysis: Dynamic Invariance of Items Pascal Deboeck
Jonathan E. Butner
Ascher K. Munion
Brian R.W. Baucom
R. Chris Fraley
Omri Gillath
Bayesian Estimation of Factor Models characterizing Dynamics Ascher Munion
Pascal Deboeck
Jonathan Butner

 Session 4D: Advances in Modeling for Causal Inference

Room 206

Paper Authors
Exploring Model-Based Causes for Effect-Size Shrinkage in Educational Research M. Shane Tutwiler
Michael Carlozzi
Zoe Kao
Evaluating the Impact of Analytic Approaches in a  Multilevel Regression Discontinuity Application Jason Schoeneberger
Christopher Rhoads
Faeze Safari

Session 4E: Tools for Teaching Multilevel Modeling

Room 301

Paper Authors
Using R to enhance shared understanding of linear mixed effect models with and without data across disciplines Katherine Zavez
Ofer Harel
A Communication-focused Approach to Building Path Diagrams for Multilevel Models Jeffrey M. Girard

Poster Session and Reception

Student Union Ballroom
5:00 – 7:00 pm
Tuesday, June 25th
Third Floor, Student Union

 

Wednesday, June 26th

Continental Breakfast
8:30 – 9:00 am
McHugh Hall Atrium

Concurrent Paper Session 5                        Wednesday 9:00 – 10:00 am

Session 5A: Dealing with Daily Data

Room 201

Paper Authors
How We Cycle: A Tutorial on Combining Day-to-Day Dynamics with Day-of-Week Effects and Weekly Dynamics Mohammadhossein (Manuel) Haqiqatkhah
Ellen L. Hamaker
Generalizability Theory Applied to Daily Relationship Quality: Substantive and Statistical Directions Madison Shea Smith
Susan C. South

Session 5B: Variable Selection in Building Generalized Linear Mixed Models

Room 202

Paper Authors
A New Algorithm for Variable Selection in Building Generalized Linear Mixed Models Yutian T. Thompson
Yaqi Li
Hairong Song
David E. Bard
A New Method for Variable Selection in Building GLMMs with Incomplete Data Yutian T. Thompson
Yaqi Li
David E. Bard

Session 5C: Multilevel R-squared Effect Size Measures

Room 205

Paper Authors
Using the mlmR2 package to estimate Multilevel R-squared Effect Size Measures Anthony Gambino

 Session 5D: Disentangling Person-Dependent and Item-Dependent Causal Effects

Room 301

Paper Authors
Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity Joshua Gilbert
Luke Miratrix
Mridul Joshi
Benjamin Domingue

10:00 – 10:20 am Break –McHugh Hall Atrium

Concurrent Paper Session 6                      Wednesday 10:20 – 11:50 am

Session 6A: Bayesian Models

Room 201

Paper Authors
Comparing the Accuracy of Three Predictive Information Criteria for Bayesian Linear Multilevel Model Selection Sean Devine
Carl F. Falk
Ken A. Fujimoto
Modeling Misspecification as a Parameter in Bayesian Structural Equation Models James Uanhoro
Bayesian Semiparametric Item Response Theory Models: A Methodological Illustration Meng Qiu
Sally Paganin

Session 6B: Novel Applications of Latent Variable Modeling

Room 202

Paper Authors
Decomposing the Effects of Suffering on Depression Using a Reparameterized SEM and Penalized Maximum Likelihood Noah Padgett
Richard Cowden
Tyler J. VanderWeele
Intensive Longitudinal Modeling of Big Social Media Data Jeffrey M. Girard
Validation of the Evidence-Based Practices Attitudes Scale (EBPAS) using Dynamic Fit Index Cutoffs Julian M. Hernandez-Torres
Natalia Giraldo-Santiago
Daniel McNeish

Session 6C: Reproducibility, Replicability, and Registration of Simulation Studies

Room 205

Paper Authors
Why Do Reproducibility and Replicability of Simulation Studies Matter? Jessica Kay Flake
Replicating Simulation Research: A Case Study Tristan D. Tibbe
Registered Reports for Simulation Studies Amanda Kay Montoya
How to Register Your Simulation Study: Our Lessons Learned Lindsay Alley
Mairead Shaw

Session 6D: Missing Data: Problems and Solutions

Room 301

Paper Authors
Evaluating the Effect of Change on Change in Cross-Domain Latent Growth Curve Analysis with Missing Data Parisa Rafiee
Manshu Yang
A Solution for Including Auxiliary Variables with Categorical Dependent Variable Estimation in SEM Jason Newsom

Mallory R. Kroeck
Brian T. Keller
Nicholas A. Smith

Dummy Variable Adjustment Technique: An Alternative to Maximum Likelihood and Multiple Imputation Roula Aldib
Lee Branum-Martin

 

Lunch                                                                          Wednesday 12:00 – 1:00 pm

Student Union

Please be sure to return your lunch card!

Please note: Dining cards can be used only on Wednesday, June 26th and only at the Union Street Marketplace.  When you return your dining cards, be sure to hand them to a member of the conference staff so they can cross your name off the list.

Concurrent Paper Session 7                          Wednesday 1:00 – 2:30 pm

Session 7A: Modeling Individual Differences

Room 201

Paper Authors
Measurement Invariance of the Big Five across Socioeconomic Background: Multigroup Confirmatory Factor Analysis and Alignment Optimization Emilija Meier-Faust
Sandra Bohmann
Applying SEM Based Person-Fit to the Wechsler Adult Intelligence Scale IV Demonstrate the Validity of Measurement at the Individual Level Jared Block
Steven Reise

Session 7B: Network Applications

Room 202

Paper Authors
Exploring the Emotional Well-Being of Young Adults through Network Psychometrics Daniel Hernández-Torrano
Exploring the Dynamics of Motivation in Physical Activity among Older Adults Through Panel Network Approach Tommaso Palombi
Denny Borsboom
René Freichel
Elisa Cavicchiolo
Fabio Lucidi
Fabio Alivernini
Estimating the Group Differences of Longitudinal Network Analysis: A Example of Eating Disorder Psychopathology Jihong Zhang
Jinbo He

Concurrent Paper Session 7        Wednesday 1:00 – 2:30 pm

Session 7C: Advances in Multilevel Mixture Modeling

Room 205

Paper Authors
Examining the Effect of Nested Data on Class Enumeration and Model Fit in Latent Profile Analysis Angela Starrett
Katherine Masyn
Application of a Multilevel Latent Class Analysis with Cross-Classified Data Audrey Leroux
Katherine Masyn
Moderated Nonlinear Mixture Analysis for Longitudinal Invariance Testing in Latent Transition Analyses Katherine Masyn
Boshi Wang

Session 7D: Structural Equation Modeling Methods

Room 301

Paper Authors
Comparing Approaches to Examine Multiple Binary Moderators in Latent Variable Models Kaylee Litson
Amanda Kay Montoya
Yiwei Wang
Quantile Structural Equation Modeling: Testing a Novel Distance Based Approach Jeffrey Shero
Zhixin Zhu
Jessica Logan

2:30 – 3:00 pm Break – Ice Cream in McHugh Atrium

Concurrent Paper Session 8                          Wednesday 3:00 – 4:00 pm

Session 8A: Innovations in Mixed Modeling

Room 201

Paper Authors
Model Selection of GLMMs in the Analysis of Count Data in SCEDs: A Monte Carlo Simulation Haoran Li
Latent Class Clustering of Random Coefficient Estimates Obtained from a Multilevel Analysis Jay Magidson
Jeroen Vermunt

Session 8B: Innovations in Structural Equation Modeling

Room 202

Paper Authors
Introducing the Deleted One Covariance Residual Measure to the Structural Equation Modeling Fathima Jaffari
Jennifer Koran
Ruling Out Latent Time Varying Confounders in Two-Variable Multi-wave Studies David Kenny
D. Betsy McCoach

Session 8C: Restructuring Basic Statistical Curricula: Mixing Older Analytic Methods with Modern Software Tools in Psychological Research

Room 205

Paper Authors
Restructuring Basic Statistical Curricula: Mixing Older Analytic Methods with Modern Software Tools in Psychological Research Emil Coman
James Jaccard
Sabrina Uva
Ana-Maria Cazan

Session 8D: Advancing Research on Methodology: A Panel Discussion on the Creation of a Minority-Centered Methodological conference, InclusiMetrics

Room 301

Paper Authors
Advancing Research on Methodology: A Panel Discussion on the Creation of a Minority-Centered Methodological Conference, InclusiMetrics Marcus Harris
Zachary Collier

 

M3_2024_Program_06-18-2024