2011 Modern Modeling Methods Conference

The first Modern Modeling Methods conference took place in May,  2011 at University of Connecticut. Keynote speakers for the first conference were Bengt Muthen, Stephen Raudenbush, Kenneth Bollen, Joshua Angrist, and David A. Kenny.

The agenda for the first Modern Modeling Methods Conference appears below.

Wednesday, May 25th

7:30- 8:30 am

Outside ITE C80

Continental Breakfast and Registration

Outside ITE C80

8:30 – 8:45 am Welcome
8:45 – 10:15 am Keynote Address 1

Bengt Muthen- Modern Latent Variable Modeling Methods

10:15 – 10:35 am Break
Session 1

10:35 am-12:00 pm

Tihomir Asparouhov

New Modeling Methods for Multilevel Data


Combined Session:

Benjamin Kelcey, Joanne Carlisle, & Dan Berebitsky: Inferences on Instructional Practice Measured with Multiple Sources of Variation

Jennifer Koran: Toward Resolving the Discrimination-Censoring Paradox in Item Response Growth Models


Combined Session:

Emil Coman: Identifying Peer-Network Clusters in a Community Sample with Limited Relational Data: Using Mixture Multilevel CFA to Recover Potential Groups of Peer Influence on Attitudes Toward Female Condoms

Stanislav Kolenikov, Isabella Zaniletti & Phillip K. Wood:

A Latent Variable Model of Student Dropout from College


Combined Session:

Ayrin Molefe: Summer School Attendance in Milwaukee: Adjusting for Self-Selection Using Propensity Score Stratification and Marginal Mean Weighting Through Stratification

Christopher Rhoads: The Implications of Contamination for Experimental Design in Education


Combined Session:

Kristina M. Jackson & Kenneth J. Sher

A Systematic Comparison of Trajectory Approaches: Comparing Longitudinal Phenotypes Based on Index of Alcohol Involvement and Number and Timing of Assessments

Jinbo Bi, Yu Wu, Howard Tennen, Stephen Armeli, Arun Abraham

Identification of College Drinking Patterns with Associated Risk Factors via Statistical Feature Selection

Combined Session:

Hariharan Swaminathan & Jane Rogers: A Bayesian Procedure for the Estimation of Random Regression Coefficients in Multilevel Quantal Response Models

Jane Rogers, Hariharan Swaminathan, & Rohini Sen Assessing Factorial Invariance in Nonlinear Latent Variable Models


12:00 to 1:15 pm Lunch

Session 2

1:15 to 2:10 pm

 Katherine Masyn

Joint Latent Variable Models for Event Histories and Growth Processes


Jay Magidson

Rethinking Regression, Prediction and Variable Selection in the Presence of High Dimensional Data: Correlated Component Regression


Ji Hoon Ryoo & Greg Welch

Fitting the Generalized Fractional Polynomial Model Incorporated with the Generalized Additive Model into Non-Normal Longitudinal Data


Phillip Wood & Kristina Jackson

Growth Models Compared as Structural Models: Rogers’ Quiet Methodological Revolution Revisited


Jennifer Rose, Lisa Dierker, Donald Hedeker, & Robin Mermelstein

Moderated Nonlinear Factor Analysis for Integrated Nicotine Dependence Data


Combined Session:

Tania B. Huedo-Medina & Blair T. Johnson: Multilevel Structural Equation Meta-Analytic Modeling of Individual Studies

Mijke Rhemtulla, Alexander M. Schoemann, & Kristopher J. Preacher: A Multilevel SEM Approach to Examine Dyadic Correlations


Combined Session:

Ann A. O’Connell, Sandra J. Reed, Sui Huang, DeLeon L. Gray: Assessing Model Fit for Ordinal Response Regression Models

Xing Liu: Using Generalized Ordinal Logistic Regression Models to Estimate Mathematics Proficiency


2:10pm to 2:30 pm Break
Session 3

2:30 pm to 3:25 pm

Karen Nylund-Gibson

An Application of Multilevel Latent Class Analysis (MLCA): A Parametric and Nonparametric Approach


Sonya Sterba

Parcel-Allocation Variability in Structural Equation Modeling: Implications for Interpreting Parcel-Solutions and Item- vs. Parcel-Solution Fit Differences


Nicholas Myers, Soyeon Ahn, & Ying Jin

Exploratory Structural Equation Modeling or Confirmatory Factor Analysis for (Im)Perfect Validity Studies


Thomas Ledermann, Siegfried Macho, & David A. Kenny

Assessing Mediation in Dyadic Data Using the Actor-Partner Interdependence Model


Ann O’Connell, Sandra J. Reed, Weijia Ren, & Jian Li : Multilevel Models for Ordinal Response Data: Theory and Practice

Combined Session:

Matthew McBee & Samuel Field: Biased Estimates of Treatment Effects Estimated via Propensity Score Matching when Matches are Inexact

Matthew McBee & John Sideris: Cronbach’s Alpha and Test Item Difficulty: A Cautionary Note


Combined Session:

Veronica Santelices: The Importance of Contextual and Personal Variables in Explaining Teacher Quality: Evidence Using a Standards-Based, Standardized Measure of Teacher Performance

Shaun Dougherty, Jennifer Jennings, & Dan Koretz: Modeling Accountability Gains:  Evidence from New York City’s School Progress Reports


3:25 pm to 3:45 pm Break
3:45 pm to 5:00 pm Keynote Address 2:

Kenneth Bollen: Model Implied Instrumental Variables (MIIVs): An Alternative Approach to Latent Variables

Poster Session

& Reception

5:00 pm to 7:00 pm

Poster Session and Reception: Gentry Atrium and Room 144

Sara K. Johnson:

Adapting the Actor-Partner Interdependence Model to Dyads Nested Within Organizations: The Example of Site-Based Youth Mentoring Programs

Jihye Kam:

Changes in the Korean Wage Structure 1978-1998: Application of Quantile Regression

Rohini Sen:

A Look at “Creativity in Graduate Research” Scales through Exploratory Structural Equation Modeling (ESEM)

Katarzyna Wyka, JoAnn Difede, Jay Verkuile:

The structure and covariates of PTSD in a population of disaster workers – latent class analysis with covariates.

Yeonsoo Yoo:

Longitudinal influence of maternal distress on young twins’ negative mood representations: A structural equation model with interchangeable dyads

Burcu Kaniskan:

The Performance of RMSEA in Models with ordinal measures



Thursday, May 26th

7:30 am – 8:00 am Breakfast
8:00 am – 9:15 am Keynote Address 3:

Stephen Raudenbush: Identifying and Estimating Causal Effects in Multisite Intervention Studies

9:15 am – 9:35 am Break

Concurrent Session 4 9:35 am to 11:00 am

Symposium: New Concepts in the Analysis of Incomplete Data

Ofer Harel, Chair and Discussant

Examining the robustness of fully synthetic data techniques for data with binary variables: Gregory Mathews

Diagnostic Accuracy of a Binary Test with Two Types of Missing Values:

Jeffrey Stratton

Missing data techniques for multilevel data: implications of model misspecification: Anne Black


Symposium:  Recent Developments from the Methodology Center at Penn State

Stephanie Lanza, Chair

New Approaches for Expanded Latent Class Models: Stephanie T. Lanza, Bethany C. Bray, Xianming Tan

Causal Mediation in the Presence of Post-Treatment Confounders,  Baseline Moderators, and Non-Randomized Treatments: Donna L. Coffman & Daniel Almirall

Functional Data Mediational Analysis of Craving and Negative Affect in Smoking Cessation Data: Jessica Trail, Kevin Timms, Megan Piper, Daniel Rivera, Linda M. Collins

Combined Session:

Chuck Secolsky: Empirical and Cognitively-Based Judgmental Estimates of Item Difficulty Using Model-Fit Statistics in IRT and MIRT

Tom Loeys: Disentangling Correlation Between Speed and Ability at the Subject Level and Between Intensity and Difficulty at the Item Level from Psycholinguistic Data: A Joint Modeling Approach

Combined Session:

Krista W. Ranby, Marcella H. Boynton, Scott H. Kollins, Joseph McClernon, Chongming Yang, & Bernard Fuemmeler: Examining ADHD Symptoms in a Nationally Representative US Sample using Factor Analysis, Latent Class Analysis, and Factor Mixture Modeling

G. Leonard Burns, Mateu Servera, Urbano Lorenzo-Seva, Esther Cardo, Antoni Rodríguez-Fornells: A Multiple Indicator Approach to the Multitrait by Multisource Matrix: Mothers’, Fathers’, and Teachers’ Ratings of the ADHD and ODD Symptoms for Thai Adolescents and Spanish children


Combined Session:

Bethany Bell, Jason A. Schoeneberger, Grant B. Morgan, Min Zhu, John M. Ferron, & Jeffrey D. Kromrey: Hierarchical vs. Contextual Models: Sample Size, Model Complexity, and the 30/30 Rule

George Leckie& Chris Charlton: Running MLwiN from within Stata: the runmlwin command

Combined Session:

David Greenberg & Michael E. Ezell: Criminal Careers: Discrete or Continuous?

Holmes Finch: A Mixture IRT Analysis of Risky Youth Behavior

11:20 am-12:30 pm Keynote Address 4:

David A. Kenny- Working with Underidentifed Structural Equation Models

12:30 pm-1:45 pm Lunch
Concurrent Session 5

1:45 pm to 2:40 pm

Gregory Hancock & Jeffrey Harring

Using Phantom Variables in Structural Equation Modeling to Assess Model Sensitivity to External Misspecification


Ji Hoon Ryoo

Longitudinal Model Selection of Statewide Achievement Tests at School Level by Using the Linear Mixed Model


Combined Session:

Karen Stamm, Deborah A. Riebe, Bryan J. Blissmer, Geoffrey W. Greene, Faith D. Lees, & Phillip G. Clark:

Longitudinal Mixture Modeling of Exercise and Fruit and Vegetable Consumption Maintenance in Older Adults

Cyr E. M’lan, Patricia Neafsey and Steve Walsh:

Markov Transitional Model for Not at Goal for Blood Pressure in Older Patients


Stephen Tueller & Gitta Lubke

Estimating Classification Accuracy for Latent Variable Mixture Models


David J. Francis, Tammy D. Tolar, & Karla K. Stuebing

The Language-Achievement Connection for English Language Learners


Combined Session:

 Joseph Cappelleri & Andrew G. Bushmakin: Interrelationships of Sildenafil Treatment Effects on the Physiological and Psychosocial Aspects of Erectile Dysfunction: An Application of Structural Equation Modeling

Nicole Judith Gilinsky: Using Structural Equation Modeling to Model the Relationships Between Physical Activity and Academic Outcomes

2:40-3:00 pm Break
3:00 pm to 4:30 pm Keynote Address 5:

Joshua Angrist- Instrumental Variables in Action:

Sometimes You get What You Need