Synapse
⌘+K
Synapse
PulseExploreClubsResearchersJournals
Instagram
HomeClubsExplore
February 17, 2024Open Access

Likelihood-Free Estimation of IRT Models in Small Samples: A Neural Networks Approach

View Full Paper
Ask AI
Bookmark
Share

Authors

DBDmitry I. BelovOLOliver LüdtkeEUEsther Ulitzsch

Discussion

Loading...

Member takes

Overview

Key Points

Key points are not available for this paper at this time.

Cite This Study

Belov et al. (2024) studied this question.

synapsesocial.com/papers/68e78ba0b6db6435876fe25dhttps://doi.org/10.31234/osf.io/w3cyq
View Full Paper
Ask AI
Bookmark
Share

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1Robust Estimation of 2PL IRT Parameters via Deep Learning under Non-Ideal Testing Conditions2025
  2. 2Graph Neural Item Response Model for Networked Learning Environments2026
  3. 3Redefining Item Response Models for Small Samples2024 · 2 citations
  4. 4Sample Size Planning in Item Response Theory: A Tutorial2024 · 5 citations
  5. 5A General Approach for Estimating Projective IRT Models2026