Webinar Series
Psychometric Society Webinar Series
Online Calibration Designs and Methods for Multidimensional Computerized Adaptive Testing
Presenters: Ping Chen (Beijing Normal University), Chun Wang (University of Washington)
Computerized adaptive testing (CAT), as the earliest form of instantiation of artificial intelligence in assessment design, has been widely used in the fields of psychological testing, educational evaluation, personnel selection, and medical diagnosis. The continuous implementation and sustainable use of CAT rely heavily on periodical update and replenishment of the item bank.
Psychometric Society Webinar Series
The Boltzmann Machine in Psychometrics: Implications and Applications
Presenters: Benjamin Deonovic (Corteva), Timo Bechger (Metior Consulting), Gunter Maris (Metior Consulting)
The Boltzmann machine remains an attractive generative model for supervised and unsupervised learning of complex multivariate distributions of binary random variables. Often the observed variables are augmented with unobserved binary variables and a Boltzmann machine is assumed for both together. Popular examples are restricted Boltzmann machines, latent tree models, and deep Boltzmann machines.
Psychometric Society Webinar Series
Bayesian covariance structure modelling for measurement invariance testing
Presenter: Jean-Paul Fox, University of Twente
Bayesian covariance structure modeling (BCSM) is a new approach for modeling clustered data. In this multivariate modeling approach a dependence structure is directly modeled through a structured covariance matrix. The BCSM can be used to model measurement (in)variance, which shows to have many advantages over traditional methods.
Psychometric Society Webinar Series
Computational psychometrics for test development: Combining language and psychometric modeling
Presenters: Yigal Attali, Andrew Runge, Geoff LaFlair, Kevin Yancey & Alina A. von Davier
Moderator: Peter Halpin
Along with the advances in communication and platform technology, it’s become apparent that (quality) content development is at the core of many industries, including the education industry. The development of learning and assessment content has been a craft that has required a high level of expertise, often of the type that was built over the years on the job. In the fast-paced digital education this is difficult to sustain.