
DIF Statistical Inference and Detection without Knowing Anchoring Items
Establishing the invariance property of an instrument (e.g., a questionn...
read it

Item Response Theory – A Statistical Framework for Educational and Psychological Measurement
Item response theory (IRT) has become one of the most popular statistica...
read it

A Note on Statistical Inference for Noisy Incomplete 1Bit Matrix
We consider the statistical inference for noisy incomplete 1bit matrix....
read it

Determining the Number of Factors in Highdimensional Generalised Latent Factor Models
As a generalisation of the classical linear factor model, generalised la...
read it

UnfoldingModelBased Visualization: Theory, Method and Applications
Multidimensional unfolding methods are widely used for visualizing item ...
read it

Item Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection
In standardized educational testing, test items are reused in multiple t...
read it

Computation for Latent Variable Model Estimation: A Unified Stochastic Proximal Framework
Latent variable models have been playing a central role in psychometrics...
read it

A Note on Likelihood Ratio Tests for Models with Latent Variables
The likelihood ratio test (LRT) is widely used for comparing the relativ...
read it

Estimation Methods for Item Factor Analysis: An Overview
Item factor analysis (IFA) refers to the factor models and statistical i...
read it

A ContinuousTime Dynamic Choice Measurement Model for ProblemSolving Process Data
Problem solving has been recognized as a central skill that today's stud...
read it

Statistical Analysis of Item Preknowledge in Educational Tests: Latent Variable Modelling and Statistical Decision Theory
Tests are a building block of our modern education system. Many tests ar...
read it

Compound Sequential Change Point Detection in Multiple Data Streams
We consider sequential change point detection in multiple data streams, ...
read it

A Note on Exploratory Item Factor Analysis by Singular Value Decomposition
In this note, we revisit a singular value decomposition (SVD) based algo...
read it

A Latent Gaussian Process Model for Analyzing Intensive Longitudinal Data
Intensive longitudinal studies are becoming progressively more prevalent...
read it

Structured Latent Factor Analysis for Largescale Data: Identifiability, Estimability, and Their Implications
Latent factor models are widely used to measure unobserved latent traits...
read it

Joint Maximum Likelihood Estimation for Highdimensional Exploratory Item Response Analysis
Multidimensional item response theory is widely used in education and ps...
read it
Yunxiao Chen
is this you? claim profile