Speakers
Paul De Boeck, The Ohio State University
All models are wrong, but some model violations are useful
Jonas Haslbeck, University of Amsterdam
Modeling Psychopathology: From Data Models to Formal Theories
Minjeong Jeon, University of California, Los Angeles
A network view on item response data: A latent space modeling approach to item response network
Steffi Pohl, Freie Universität Berlin
Reframing Rankings in Educational Assessments: Disentangling Different Aspects of Test Performance using process data
Dan Bolt, University of Wisconsin – Madison
Item Complexity: A Neglected Psychometric Feature of Test Items?
Elena Erosheva, University of Washington
Statistical approaches to understanding characteristics and limits of peer review assessments
Daniel W. Heck, Philipps University of Marburg
Cognitive Psychometrics using Hierarchical Multinomial Processing Tree Models
Maarten Marsman, University of Amsterdam
What network psychometrics can learn from classic psychometric and network modelling
Leslie Rutkowski, Indiana University
Beyond Carrying Capacity: Have International Assessments Been Stretched Too Far?
Oludare Ariyo, Federal University of Agriculture, Abeokuta
Prior distributions for structured covariance matrices
Dmitry Belov, Law School Admission Council
Predicting item characteristic curve (ICC) using a softmax classifier
Heather Gunn, University of California, Los Angeles
Fitting a LASSO to multiply imputed data: A missing discussion
Hong Jiao, University of Maryland
Analyzing responses, response time, and answer changes for cognitive diagnosis with machine learning algorithms
