43 citations · 44 across the 2 of their papers we have counts for
2 papers
stat.ML2021★ 1 cited
Deep Learning-Based Estimation and Goodness-of-Fit for Large-Scale Confirmatory Item Factor Analysis
Christopher J. Urban, Daniel J. Bauer
We investigate novel parameter estimation and goodness-of-fit (GOF) assessment methods for large-scale confirmatory item factor analysis (IFA) with many respondents, items, and lat…
stat.ME2020★ 43 cited
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
Christopher J. Urban, Daniel J. Bauer
Marginal maximum likelihood (MML) estimation is the preferred approach to fitting item response theory models in psychometrics due to the MML estimator's consistency, normality, an…