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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

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

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