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Introducing Flexible Monotone Multiple Choice Item Response Theory
  Models and Bit Scales

Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales

2 October 2024
Joakim Wallmark
Maria Josefsson
Marie Wiberg
ArXiv (abs)PDFHTML

Papers citing "Introducing Flexible Monotone Multiple Choice Item Response Theory Models and Bit Scales"

3 / 3 papers shown
Title
Variational Item Response Theory: Fast, Accurate, and Expressive
Variational Item Response Theory: Fast, Accurate, and Expressive
Mike Wu
R. Davis
B. Domingue
Chris Piech
Noah D. Goodman
OffRL
95
55
0
01 Feb 2020
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor
  Analysis
A Deep Learning Algorithm for High-Dimensional Exploratory Item Factor Analysis
Christopher J. Urban
Daniel J. Bauer
BDL
40
33
0
22 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
541
42,591
0
03 Dec 2019
1