Cover Image

Reliability-Targeted Simulation of Item Response Data: Solving the Inverse Design Problem

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lee, JoonHo
Format:	Preprint
Published:	2025
Subjects:	Methodology Computation
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Design Effect Ratios for Bayesian Survey Models: A Diagnostic Framework for Identifying Survey-Sensitive Parameters
by: Lee, JoonHo
Published: (2026)

A Bayesian Hierarchical Hurdle Beta-Binomial Model for Survey-Weighted Bounded Counts and Its Application to Childcare Enrollment
by: Lee, JoonHo
Published: (2026)

Design-Conditional Prior Elicitation for Dirichlet Process Mixtures: A Unified Framework for Cluster Counts and Weight Control
by: Lee, JoonHo
Published: (2026)

Valid standard errors for Bayesian quantile regression with clustered and independent data
by: Ji, Feng, et al.
Published: (2024)

Improving the Estimation of Site-Specific Effects and their Distribution in Multisite Trials
by: Lee, JoonHo, et al.
Published: (2023)

Asymptotic Standard Errors for Reliability Coefficients in Item Response Theory
by: Sung, Youjin, et al.
Published: (2025)

Exploring OCR-augmented Generation for Bilingual VQA
by: Lee, JoonHo, et al.
Published: (2025)

Propagating Surrogate Uncertainty in Bayesian Inverse Problems
by: Roberts, Andrew Gerard, et al.
Published: (2026)

Dynamic Bayesian Item Response Model with Decomposition (D-BIRD): Modeling Cohort and Individual Learning Over Time
by: Lee, Hansol, et al.
Published: (2025)

Detecting Model Misspecification in Bayesian Inverse Problems via Variational Gradient Descent
by: Liu, Qingyang, et al.
Published: (2025)

Estimating Heterogeneous Treatment Effects with Item-Level Outcome Data: Insights from Item Response Theory
by: Gilbert, Joshua B., et al.
Published: (2024)

Novel Subsampling Strategies for Heavily Censored Reliability Data
by: Ruan, Yixiao, et al.
Published: (2024)

ebnm: An R Package for Solving the Empirical Bayes Normal Means Problem Using a Variety of Prior Families
by: Willwerscheid, Jason, et al.
Published: (2021)

Robust Estimation of Item Parameters via Divergence Measures in Item Response Theory
by: Itaya, Yuki, et al.
Published: (2025)

Documents Are People and Words Are Items: A Psychometric Approach to Textual Data with Contextual Embeddings
by: Chen, Jinsong
Published: (2025)

Deep Probabilistic Spatial Modeling for Multivariate Mixed-Type Responses
by: Jeon, Yeseul, et al.
Published: (2026)

A Statistical Interpretation of Multi-Item Rating and Recommendation Problems
by: Hermes, Sjoerd
Published: (2025)

Survival Data Simulation With the R Package rsurv
by: Demarqui, Fábio N.
Published: (2024)

Polytomous Explanatory Item Response Models for Item Discrimination: Assessing Negative-Framing Effects in Social-Emotional Learning Surveys
by: Gilbert, Joshua B., et al.
Published: (2024)

Coherent Disaggregation and Uncertainty Quantification for Spatially Misaligned Data
by: Suen, Man Ho, et al.
Published: (2025)

Constructing Bayesian Optimal Designs for Discrete Choice Experiments by Simulated Annealing
by: Mao, Yicheng, et al.
Published: (2024)

Sparse Bayesian Multidimensional Item Response Theory
by: Li, Jiguang, et al.
Published: (2023)

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

Poisson Inventory Models with Many Items: An Empirical Bayes Approach
by: Anderson, Edward, et al.
Published: (2025)

Socio-Conformal Calibration in Complex Survey Data: Marginal Validity Is Not Enough for Subgroup Reliability
by: Rafe, Amir, et al.
Published: (2026)

ICCDesign: An R Package for the Design and Analysis of ICC-Based Reliability Studies with Continuous Responses
by: Liu, Ziyu, et al.
Published: (2026)

Simulated Annealing for Model-Robust Partial Profile Choice Designs in Healthcare Preference Studies
by: Mao, Yicheng, et al.
Published: (2026)

Beyond the Null Effect: Unmasking the True Impact of Teacher-Child Interaction Quality on Child Outcomes in Early Head Start
by: Lee, JoonHo, et al.
Published: (2026)

Batch-based Bayesian Optimal Experimental Design in Linear Inverse Problems
by: Mäkinen, Sofia, et al.
Published: (2026)

Towards Data-Conditional Simulation for ABC Inference in Stochastic Differential Equations
by: Jovanovski, Petar, et al.
Published: (2023)

Bayesian Inference for PDE-based Inverse Problems using the Optimization of a Discrete Loss
by: Amoudruz, Lucas, et al.
Published: (2025)

New sampling approaches for Shrinkage Inverse-Wishart distribution
by: Jiang, Yiye
Published: (2025)

Unbiased Parameter Estimation for Bayesian Inverse Problems
by: Chada, Neil K., et al.
Published: (2025)

TrialEmulation: An R Package to Emulate Target Trials for Causal Analysis of Observational Time-to-event Data
by: Su, Li, et al.
Published: (2024)

Differential Equation-Constrained Local Regression for Data with Sparse Design
by: Ge, Chunlei, et al.
Published: (2025)

Is Representational Similarity Analysis Reliable? A Comparison with Regression
by: Gao, Chuanji, et al.
Published: (2025)

A Linear Relationship between Correlation and Cohen's Kappa for Binary Data and Simulating Multivariate Nominal and Ordinal Data with Specified Kappa Matrix
by: Sahu, Soumya, et al.
Published: (2024)

Logistic Multidimensional Data Analysis for Ordinal Response Variables using a Cumulative Link function
by: de Rooij, Mark, et al.
Published: (2024)

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

Experimental Designs for Multi-Item Multi-Period Inventory Control
by: Chen, Xinqi, et al.
Published: (2025)