Cover Image

Accounting for Measurement Bias: A New Framework for Reliable Country Ranking in Large-Scale Educational Assessments

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ouyang, Jing, Chen, Yunxiao, Li, Chengcheng, Xu, Gongjun
Format:	Preprint
Published:	2025
Subjects:	Methodology
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DIF Statistical Inference without Knowing Anchoring Items
by: Chen, Yunxiao, et al.
Published: (2021)

Beyond Vintage Rotation: Bias-Free Sparse Representation Learning with Oracle Inference
by: Cui, Chengyu, et al.
Published: (2026)

Inference on Generalized Latent Variable Models with High-Dimensional Responses and Covariates
by: Ouyang, Jing, et al.
Published: (2026)

Identifiability of Latent Class Models with Covariates
by: Ouyang, Jing, et al.
Published: (2021)

A Note on Improving Variational Estimation for Multidimensional Item Response Theory
by: Ma, Chenchen, et al.
Published: (2023)

A Tensor-EM Method for Large-Scale Latent Class Analysis with Binary Responses
by: Zeng, Zhenghao, et al.
Published: (2021)

Statistical Inference for Covariate-Adjusted and Interpretable Generalized Factor Model with Application to Testing Fairness
by: Ouyang, Jing, et al.
Published: (2024)

A Continuous-Time Dynamic Choice Measurement Model for Problem-Solving Process Data
by: Chen, Yunxiao
Published: (2019)

Rank Aggregation under Weak Stochastic Transitivity via a Maximum Score Estimator
by: Zhang, Haoran, et al.
Published: (2025)

A Latent Variable Model with Change-Points and Its Application to Time Pressure Effects in Educational Assessment
by: Wallin, Gabriel, et al.
Published: (2024)

Identifiability and Inference for Generalized Latent Factor Models
by: Cui, Chengyu, et al.
Published: (2025)

The Sufficient and Necessary Condition for the Identifiability and Estimability of the DINA Model
by: Gu, Yuqi, et al.
Published: (2017)

High-dimensional Factor Analysis for Network-linked Data
by: Li, Jinming, et al.
Published: (2024)

A General Latent Embedding Approach for Modeling Non-uniform High-dimensional Sparse Hypergraphs with Multiplicity
by: Wu, Shihao, et al.
Published: (2024)

Learning Latent and Hierarchical Structures in Cognitive Diagnosis Models
by: Ma, Chenchen, et al.
Published: (2021)

Sufficient and Necessary Conditions for the Identifiability of DINA Models with Polytomous Responses
by: Lin, Mengqi, et al.
Published: (2023)

Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
by: Zhang, Siliang, et al.
Published: (2020)

Estimation and Statistical Inference for Generalized Multilayer Latent Space Model
by: Liu, Zhaozhe, et al.
Published: (2026)

Variational Estimation for Multidimensional Generalized Partial Credit Model
by: Cui, Chengyu, et al.
Published: (2024)

Hyperbolic Network Latent Space Model with Learnable Curvature
by: Li, Jinming, et al.
Published: (2023)

A Latent Variable Framework for Multiple Imputation with Non-ignorable Missingness: Analyzing Perceptions of Social Justice in Europe
by: Zhang, Siliang, et al.
Published: (2025)

Exploratory Hierarchical Factor Analysis with an Application to Psychological Measurement
by: Qiao, Jiawei, et al.
Published: (2025)

A Note on Ising Network Analysis with Missing Data
by: Zhang, Siliang, et al.
Published: (2023)

Consistency Theory of General Nonparametric Classification Methods in Cognitive Diagnosis
by: Cui, Chengyu, et al.
Published: (2023)

Recurrent Event Analysis with Ordinary Differential Equations
by: Meng, Bo, et al.
Published: (2025)

Denoising Diffused Embeddings: a Generative Approach for Hypergraphs
by: Wu, Shihao, et al.
Published: (2025)

A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
by: Zhang, Haoran, et al.
Published: (2019)

Bridging Parametric and Nonparametric Methods in Cognitive Diagnosis
by: Ma, Chenchen, et al.
Published: (2020)

Sequential Change Point Detection with FDR Control in Reconfigurable Sensor Networks
by: Lee, Seungwon, et al.
Published: (2025)

The (Surprising) Sample Optimality of Greedy Procedures for Large-Scale Ranking and Selection
by: Li, Zaile, et al.
Published: (2023)

Transform-Resampled Double Bootstrap Percentile with Applications in System Reliability Assessment
by: Gong, Junpeng, et al.
Published: (2025)

Theoretical Analysis of Engression and Reverse Markov Engression
by: Huang, Jiaqi, et al.
Published: (2026)

De-Biasing the Bias: Methods for Improving Disparity Assessments with Noisy Group Measurements
by: Wastvedt, Solvejg, et al.
Published: (2024)

Determining number of factors under stability considerations
by: Lee, Sze Ming, et al.
Published: (2024)

Statistical Inference on Latent Space Models for Network Data
by: Li, Jinming, et al.
Published: (2023)

Quantile Mediation Analytics
by: Chen, Canyi, et al.
Published: (2024)

A Latent Variable Approach to Learning High-dimensional Multivariate longitudinal Data
by: Lee, Sze Ming, et al.
Published: (2024)

Large-Scale Low-Rank Gaussian Process Prediction with Support Points
by: Song, Yan, et al.
Published: (2022)

Ranking with Confidence: A Probabilistic Framework for Deterministic Ranking Methods
by: Zhang, Shunpu
Published: (2026)

Sparse Latent Class Analysis: Post-Estimation Refinement via Item-level Pseudo-Likelihood
by: Xu, Yuxuan, et al.
Published: (2026)