most citedExamining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling

2 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Enhancing Systematic Reviews with Large Language Models: Using GPT-4 and Kimi

Dandan Chen Kaptur, Yue Huang, Xuejun Ryan Ji +2

This research delved into GPT-4 and Kimi, two Large Language Models (LLMs), for systematic reviews. We evaluated their performance by comparing LLM-generated codes with human-gener…

stat.AP2024

Dependencies in Item-Adaptive CAT Data and Differential Item Functioning Detection: A Multilevel Framework

Dandan Chen Kaptur, Justin Kern, Chingwei David Shin +1

Differential item functioning (DIF) detection is an important yet understudied problem in computerized adaptive testing (CAT). In this article, we proposed a two-level logistic mod…

stat.AP2024

Evaluating Four Methods for Detecting Differential Item Functioning in Large-Scale Assessments with More Than Two Groups

Dandan Chen Kaptur, Jinming Zhang

This study evaluated four multi-group differential item functioning (DIF) methods (the root mean square deviation approach, Wald-1, generalized logistic regression procedure, and g…

stat.AP2024

Examinees' Rapid-Guessing Patterns in Computerized Adaptive Testing for Interim Assessment: From Hierarchical Clustering

Dandan Chen Kaptur, Elizabeth Patton, Logan Rome

Interim assessment is frequently administered via computerized adaptive testing (CAT), offering direct support to teaching and learning. This study attempted to fill a vital knowle…

stat.AP2024★ 2 cited

Examining Differential Item Functioning (DIF) in Self-Reported Health Survey Data: Via Multilevel Modeling

Dandan Chen Kaptur, Yiqing Liu, Bradley Kaptur +4

Few health-related constructs or measures have received a critical evaluation in terms of measurement equivalence, such as self-reported health survey data. Differential item funct…