Psychometrics Workshop – September 22-23, 2023

This psychometrics workshop presents research talks on statistical methods (such as latent variable models and graphical models) for complex and heterogeneous data in psychological and educational measurement.  

Click here for the workshop website.


Yuqi Gu (Columbia University)

Jingchen Liu (Columbia University)

Zhiliang Ying (Columbia University)


Friday, September 22: Room 311-312 School of Social Work Building

Saturday, September 23: Room 903, School of Social Work Building

The School of Social Work Building is located at 1255 Amsterdam Avenue, New York, NY 10027.

Speakers and Participants:

Björn Andersson (University of Oslo)

Daniel Bolt (University of Wisconsin-Madison)

Hua Hua Chang (Purdue University)

Yunxiao Chen (London School of Economics)

Jimmy de la Torre (University of Hong Kong)

Yuqi Gu (Columbia University)

Qiwei He (Georgetown University)

Xiaoou Li (University of Minnesota)

Jingchen Liu (Columbia University)

Maarten Marsman (University of Amsterdam)

Irini Moustaki (London School of Economics)

William Stout (University of Illinois at Urbana Champaign)

Youmi Suk (Columbia University Teachers College)

Xueying Tang (University of Arizona)

Esther Ulitzsch (Leibniz Institute for Science and Mathematics Education)

Chun Wang (University of Washington)

Gongjun Xu (University of Michigan)

Zhiliang Ying (Columbia University)

Susu Zhang (University of Illinois at Urbana Champaign)


Workshop Program:
September 22 (Friday):

9:00 am – 9:30 am:      Yunxiao Chen  (DIF Analysis with Unknown Anchor Items and Possibly Unknown Groups)

9:30 am – 10:00 am:    Youmi Suk  (A Psychometric Framework for Evaluating Fairness in Algorithmic Decision Making: Differential Algorithmic Functioning)

10:00 am – 10:30 am:  Susu Zhang  (A Measurement Theory Framework for Natural Language Generation Model Evaluation)

10:30 am – 10:50 am:   Coffee Break 

10:50 am – 11:20 am:  Jimmy de la Torre  (A Highly Flexible CDM for Multiple-Choice Response Data: Model Formulation and Comparison)

11:20 am – 11:50 am:  William Stout  (The Generalized Diagnostic Classification Modeling (GDCM) Methodology: Results, Future Research and GDCM’s Wide Diagnostic Applications Potential)

11:50 pm – 2:30 pm:     Lunch Break

2:30 pm – 3:00 pm:     Irini Moustaki  (Generalised latent variable models for location, scale and shape parameters)

3:00 pm – 3:30 pm:     Chun Wang  (Harvesting Actionable Results for Learning and Instruction: A Diagnostic Facet Status Model)

3:30 pm – 4:00 pm:     Yuqi Gu  (New Paradigm of Identifiable General-response Cognitive Diagnostic Models: Going Deep & Going Beyond Categorical Data)

4:00 pm – 4:20 pm:      Coffee Break 

4:20 pm – 4:50 pm:     Björn Andersson  (Fast estimation of generalized linear latent and mixed models for categorical, count, and continuous observed variables)

4:50 pm – 5:20 pm:     Esther Ulitzsch  (Response-time-based mixture models for monitoring and accounting for careless and insufficient effort responding)

September 23 (Saturday):

9:00 am – 9:30 am:     Gongjun Xu  (Statistical Inference for Noisy Incomplete Binary Matrix)

9:30 am – 10:00 am:   Xiaoou Li  (Globally optimal Greedy Experiment Selection for Active Estimation)

10:00 am – 10:30 am: Qiwei He  (TBD)

10:30 am – 10:50 am:  Coffee Break 

10:50 am – 11:20 am: Maarten Marsman  (Bayesian analysis of graphical models for psychometric variables with bgms and beyond)

11:20 am – 11:50 am: Xueying Tang  (A latent hidden Markov model for process data)