Reducing Differential Item Functioning via Process Data
Fuente:
arXiv
Saved in:
| Main Authors: | Chen, Ling, Zhang, Susu, Liu, Jingchen |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Accurate Assessment via Process Data
by: Zhang, Susu, et al.
Published: (2021)
by: Zhang, Susu, et al.
Published: (2021)
Dependencies in Item-Adaptive CAT Data and Differential Item Functioning Detection: A Multilevel Framework
by: Kaptur, Dandan Chen, et al.
Published: (2024)
by: Kaptur, Dandan Chen, et al.
Published: (2024)
Latent Feature Extraction for Process Data via Multidimensional Scaling
by: Tang, Xueying, et al.
Published: (2019)
by: Tang, Xueying, et al.
Published: (2019)
Examining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling
by: Kaptur, Dandan Chen, et al.
Published: (2024)
by: Kaptur, Dandan Chen, et al.
Published: (2024)
Evaluating Four Methods for Detecting Differential Item Functioning in Large-Scale Assessments with More Than Two Groups
by: Kaptur, Dandan Chen, et al.
Published: (2024)
by: Kaptur, Dandan Chen, et al.
Published: (2024)
Spatially-Heterogeneous Causal Bayesian Networks for Seismic Multi-Hazard Estimation: A Variational Approach with Gaussian Processes and Normalizing Flows
by: Li, Xuechun, et al.
Published: (2025)
by: Li, Xuechun, et al.
Published: (2025)
A Doubly Latent Space Joint Model for Local Item and Person Dependence in the Analysis of Item Response Data
by: Jin, Ick Hoon, et al.
Published: (2016)
by: Jin, Ick Hoon, et al.
Published: (2016)
Robust Estimation of Item Parameters via Divergence Measures in Item Response Theory
by: Itaya, Yuki, et al.
Published: (2025)
by: Itaya, Yuki, et al.
Published: (2025)
Wildfire Evacuation Analysis Using Facebook Data: Evidence from Palisades and Eaton Fires
by: Jiang, Shangkun, et al.
Published: (2026)
by: Jiang, Shangkun, et al.
Published: (2026)
Stationary Proportional Hazard Processes via Complementary Power Function Distribution Processes
by: Arnold, Barry C., et al.
Published: (2024)
by: Arnold, Barry C., et al.
Published: (2024)
What Can We Learn from a Semiparametric Factor Analysis of Item Responses and Response Time? An Illustration with the PISA 2015 Data
by: Liu, Yang, et al.
Published: (2023)
by: Liu, Yang, et al.
Published: (2023)
DIF Analysis with Unknown Groups and Anchor Items
by: Wallin, Gabriel, et al.
Published: (2023)
by: Wallin, Gabriel, et al.
Published: (2023)
Impacts of Innovation School System in Korea: A Latent Space Item Response Model with Neyman-Scott Point Process
by: Yi, Seorim, et al.
Published: (2023)
by: Yi, Seorim, et al.
Published: (2023)
Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings
by: Chen, Jinsong
Published: (2025)
by: Chen, Jinsong
Published: (2025)
DIF Statistical Inference without Knowing Anchoring Items
by: Chen, Yunxiao, et al.
Published: (2021)
by: Chen, Yunxiao, et al.
Published: (2021)
Statistical Process Monitoring based on Functional Data Analysis
by: Centofanti, Fabio
Published: (2025)
by: Centofanti, Fabio
Published: (2025)
Estimating Racial and Ethnic Healthcare Quality Disparities Using Exploratory Item Response Theory and Latent Class Item Response Theory Models
by: Normand, Sharon-Lise, et al.
Published: (2023)
by: Normand, Sharon-Lise, et al.
Published: (2023)
Order Determination for Functional Data
by: Zhang, Chi, et al.
Published: (2025)
by: Zhang, Chi, et al.
Published: (2025)
A Novel SiC MOSFET Short‐Circuit Protection Method Based on the Gate Charge Characteristic Curves
by: Lei Zhang, et al.
Published: (2026)
by: Lei Zhang, et al.
Published: (2026)
Differentially private synthesis of Spatial Point Processes
by: Kim, Dangchan, et al.
Published: (2025)
by: Kim, Dangchan, et al.
Published: (2025)
$\ell_0$-Regularized Item Response Theory Model for Robust Ideal Point Estimation
by: Seo, Kwangok, et al.
Published: (2025)
by: Seo, Kwangok, et al.
Published: (2025)
Poisson Inventory Models with Many Items: An Empirical Bayes Approach
by: Anderson, Edward, et al.
Published: (2025)
by: Anderson, Edward, et al.
Published: (2025)
Adapting Projection-Based Reduced-Order Models using Projected Gaussian Process
by: Liu, Xiao, et al.
Published: (2024)
by: Liu, Xiao, et al.
Published: (2024)
Sparse Reduced-rank Regression Methods for Spatially Misaligned Data with Application to Spatial Transcriptomics
by: Wu, Zitian, et al.
Published: (2026)
by: Wu, Zitian, et al.
Published: (2026)
Multi‐Way and Poly‐Phase Differential Phase Shifters With Highly Reduced Footprint
by: Chuan Shao, et al.
Published: (2025)
by: Chuan Shao, et al.
Published: (2025)
Semiparametric Inference for Causal Effects on Functional Outcomes
by: Nie, Junzhu, et al.
Published: (2026)
by: Nie, Junzhu, et al.
Published: (2026)
A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
by: Chen, Yunxiao
Published: (2019)
by: Chen, Yunxiao
Published: (2019)
Item response parameter estimation performance using Gaussian quadrature and Laplace
by: Arrington, Leticia, et al.
Published: (2024)
by: Arrington, Leticia, et al.
Published: (2024)
Comparing AI and Human Emotional Responses to Color: A Semantic Differential and Word‐Color Association Approach
by: Ling Zheng, et al.
Published: (2025)
by: Ling Zheng, et al.
Published: (2025)
Robust Distributed Learning of Functional Data From Simulators through Data Sketching
by: Andros, R. Jacob, et al.
Published: (2024)
by: Andros, R. Jacob, et al.
Published: (2024)
Differential item functioning via robust scaling
by: Halpin, Peter F.
Published: (2022)
by: Halpin, Peter F.
Published: (2022)
An Efficient Two-Dimensional Functional Mixed-Effect Model Framework for Repeatedly Measured Functional Data
by: Cao, Cheng, et al.
Published: (2024)
by: Cao, Cheng, et al.
Published: (2024)
Robust Wrapped Gaussian Process Inference for Noisy Angular Data
by: Cooper, Andrew, et al.
Published: (2025)
by: Cooper, Andrew, et al.
Published: (2025)
Discovering and Analyzing Stochastic Processes to Reduce Waste in Food Retail
by: Kalenkova, Anna, et al.
Published: (2025)
by: Kalenkova, Anna, et al.
Published: (2025)
Spline Based Methods for Functional Data on Multivariate Domains
by: Basna, Rani, et al.
Published: (2023)
by: Basna, Rani, et al.
Published: (2023)
Estimating Inhomogeneous Spatio-Temporal Background Intensity Functions using Graphical Dirichlet Processes
by: Bañales, Isaías, et al.
Published: (2025)
by: Bañales, Isaías, et al.
Published: (2025)
Efficient Detection of Bad Benchmark Items with Novel Scalability Coefficients
by: Hardy, Michael, et al.
Published: (2026)
by: Hardy, Michael, et al.
Published: (2026)
Hierarchical Latent Space Item Response Model for Analyzing Mental Health Vulnerability of Elementary School Students in South Korea
by: Park, Soyeon, et al.
Published: (2026)
by: Park, Soyeon, et al.
Published: (2026)
Gaining Insights into Group-Level Course Difficulty via Differential Course Functioning
by: Baucks, Frederik, et al.
Published: (2024)
by: Baucks, Frederik, et al.
Published: (2024)
Toward a Data Processing Pipeline for Mobile-Phone Tracking Data
by: Jurek, Marcin, et al.
Published: (2025)
by: Jurek, Marcin, et al.
Published: (2025)
Similar Items
-
Accurate Assessment via Process Data
by: Zhang, Susu, et al.
Published: (2021) -
Dependencies in Item-Adaptive CAT Data and Differential Item Functioning Detection: A Multilevel Framework
by: Kaptur, Dandan Chen, et al.
Published: (2024) -
Latent Feature Extraction for Process Data via Multidimensional Scaling
by: Tang, Xueying, et al.
Published: (2019) -
Examining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling
by: Kaptur, Dandan Chen, et al.
Published: (2024) -
Evaluating Four Methods for Detecting Differential Item Functioning in Large-Scale Assessments with More Than Two Groups
by: Kaptur, Dandan Chen, et al.
Published: (2024)