Wednesday, May 25^th

Outside ITE C80

Outside ITE C80

Bengt Muthen- Modern Latent Variable Modeling Methods

10:35 am-12:00 pm

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

Session 2

1:15 to 2:10 pm

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

2:30 pm to 3:25 pm

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

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

& Reception

5:00 pm to 7:00 pm

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 26^th

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

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

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

David A. Kenny- Working with Underidentifed Structural Equation Models

1:45 pm to 2:40 pm

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

Joshua Angrist- Instrumental Variables in Action:

Sometimes You get What You Need