Text Box: IMPS 2011
Text Box: Photo and Video

© Copyright IMPS 2011. All rights reserved

Text Box: Keynote Speakers
Text Box: Conference Program

Conference program (Download PDF)

Text Box: Workshop

 Photos for the conference events and presentation speakers

 Video clips for the conference highlights


Willem J. Heiser

Leiden University , The Netherlands

Explanatory Unfolding Models for Prediction of Judgment and Choice (Presentation PDF)     

Sik-yum Lee

The Chinese University of Hong Kong

Bayesian Structural Equation Modeling: An Overview and Some Recent Results (Presentation PDF)

David Thissen

University of North Carolina, Chapel Hill, USA

Psychometric Engineering Redux: Making a PROMIS (Presentation PDF)

Text Box: Invited Speakers
Text Box: State-of-the-Art Speakers

Topic 1. Cognitive Diagnosis Modeling: A General Framework Approach

Jimmy de la Torre

(Department of Educational Psychology, Rutgers, The State University of New Jersey)


Topic 2. Bayesian Evaluation of Informative Hypotheses

Herbert Hoijtink and Irene Klugkist

(Department of Methods and Statistics, University Utrecht, the Netherlands)


Topic 3. Psychometrics in R

Thomas Rusch and Patrick Mair

(Institute for Statistics and Mathematics, Vienna University of Economics and Business)


Topic 4. EQSIRT: A New Software for IRT Modeling

Eric Wu, Sam He, Peter M. Bentler, and Patrick Mair

(Department of Psychology, UCLA and Multivariate Software, Inc.)


Text Box: Award

Psychometric Society Lifetime Achievement Award Winner

Bengt Muthmn, University of California, Los Angeles, USA

Dissertation Award

Anna Brown, University of Barcelona, Spain

Best Junior Presenter

Margot Bennink*, Tilburg University, Netherlands

Predicting Discrete Macro-Level Outcome Variables with Micro-Level Explanatory Variables: A Latent Class Approach

Best Poster

Hsuan-Po Wang*,National Taichung University of Education, Taiwan

Yu-Ju Lu, National Taichung University of Education, Taiwan

Bor-Chen Kuo, National Taichung University of Education, Taiwan

Chien-Ming Cheng, National Taichung University of Education, Taiwan

Invariance of Equating Functions Across Gender Groups of the Taiwan Assessment of Student Achievement

Psychometric Society Travel Award Winners

Shuyan Sun, University of Cincinnati, USA

"Iterative MIMIC for DIF detection in Polytomous Items with Small Samples and Many DIF Items"


In-Hee Choi, University of California, Berkeley, USA

"Mixture Extensions of the Linear Logistic Test Model (LLTM) using Markov Chain Monte Carlo (MCMC) Estimation"


Younyoung Choi, University of Maryland, USA

"Dynamic Bayesian Inference Network for Modeling Learning Progressions over Multiple Time Points"

Marcel Croon

Tilburg University, The Netherlands

Separating Between- and Within- Group Associations for Categorical Variables?

Takahiro Hoshino

Nagoya University, Japan

Causal Inference Framework for Latent Variable Modeling: Application to Test-Equating and Causal Effect Estimation in Latent Variables

Wagner Kamakura

Duke University, USA

Menu Choice Modeling

Anders Skrondal

Norwegian Institute of Public Health, Norway

Missing Data and Consistency for a Latent Variable Model Widely Used in IRT and Longitudinal Data Analysis

Jimmy de la Torre

Rutgers, the State University of New Jersey, USA

The G-DINA Model Framework and Some Recent Developments

Alina A. von Davier

Educational Testing Service, USA

Observed-Score Test Equating--Science or Art?

George Karabatsos

University of Illinois-Chicago, USA

Bayesian Unimodal Density Regression

Keith Markus

The City University of New York, USA

Looking Back and Looking Forward

Rob Meijer

University of Groningen, The Netherlands

Item Response Theory and Non-Cognitive Measurement

Hsiu-Ting Yu

McGill University, Canada

Modeling Discrete Latent Constructs: Review and Beyond

Carolin Strobl

Ludwig-Maximilians Universität M▋chen, Germany

The Potential of Recursive Partitioning Methods for Psychological Research

Jelte Wicherts

University of Amsterdam, The Netherlands

It’s Alive! A review and Prospect of Measurement Invariance