86 citations · 290 across the 15 of their papers we have counts for
15 papers
Reducing Differential Item Functioning via Process Data
Ling Chen, Susu Zhang, Jingchen Liu
Testing fairness is a major concern in psychometric and educational research. A typical approach for ensuring testing fairness is through differential item functioning (DIF) analys…
Item Response Theory -- A Statistical Framework for Educational and Psychological Measurement
Yunxiao Chen, Xiaoou Li, Jingchen Liu +1
Item response theory (IRT) has become one of the most popular statistical models for psychometrics, a field of study concerned with the theory and techniques of psychological measu…
External Correlates of Adult Digital Problem-Solving Behavior: Log Data Analysis of a Large-Scale Assessment
Susu Zhang, Xueying Tang, Qiwei He +2
Using the action sequence data (i.e., log data) from the problem-solving in technology-rich environments assessment on the 2012 Programme for the International Assessment of Adult…
Accurate Assessment via Process Data
Susu Zhang, Zhi Wang, Jitong Qi +2
Accurate assessment of students' ability is the key task of a test. Assessments based on final responses are the standard. As the infrastructure advances, substantially more inform…
Subtask Analysis of Process Data Through a Predictive Model
Zhi Wang, Xueying Tang, Jingchen Liu +1
Response process data collected from human-computer interactive items contain rich information about respondents' behavioral patterns and cognitive processes. Their irregular forma…
ProcData: An R Package for Process Data Analysis
Xueying Tang, Susu Zhang, Zhi Wang +2
Process data refer to data recorded in the log files of computer-based items. These data, represented as timestamped action sequences, keep track of respondents' response processes…
An Exploratory Analysis of the Latent Structure of Process Data via Action Sequence Autoencoder
Xueying Tang, Zhi Wang, Jingchen Liu +1
Computer simulations have become a popular tool of assessing complex skills such as problem-solving skills. Log files of computer-based items record the entire human-computer inter…
Latent Feature Extraction for Process Data via Multidimensional Scaling
Xueying Tang, Zhi Wang, Qiwei He +2
Computer-based interactive items have become prevalent in recent educational assessments. In such items, the entire human-computer interactive process is recorded in a log file and…
Optimal Stopping and Worker Selection in Crowdsourcing: an Adaptive Sequential Probability Ratio Test Framework
Xiaoou Li, Yunxiao Chen, Xi Chen +2
In this paper, we aim at solving a class of multiple testing problems under the Bayesian sequential decision framework. Our motivating application comes from binary labeling tasks…
Markov Network for Modeling Local Item Dependence in Cognitively Diagnostic Classification Models
Hyeon-Ah Kang, Jingchen Liu, Zhiliang Ying
The study presents an exploratory graphical modeling approach for evaluating local item dependency within cognitively diagnostic classification models (DCMs). Current approaches to…
On the Identifiability of Diagnostic Classification Models
Guanhua Fang, Jingchen Liu, Zhiliang Ying
This paper establishes fundamental results for statistical inference of diagnostic classification models (DCM). The results are developed at a high level of generality, applicable…
A Fused Latent and Graphical Model for Multivariate Binary Data
Yunxiao Chen, Xiaoou Li, Jingchen Liu +1
We consider modeling, inference, and computation for analyzing multivariate binary data. We propose a new model that consists of a low dimensional latent variable component and a s…
Chernoff Index for Cox Test of Separate Parametric Families
Xiaoou Li, Jingchen Liu, Zhiliang Ying
The asymptotic efficiency of a generalized likelihood ratio test proposed by Cox is studied under the large deviations framework for error probabilities developed by Chernoff. In p…
Learning Item-Attribute Relationship in Q-Matrix Based Diagnostic Classification Models
Jingchen Liu, Gongjun Xu, Zhiliang Ying
Recent surge of interests in cognitive assessment has led to the developments of novel statistical models for diagnostic classification. Central to many such models is the well-kno…
Theory of self-learning -matrix
Jingchen Liu, Gongjun Xu, Zhiliang Ying
Cognitive assessment is a growing area in psychological and educational measurement, where tests are given to assess mastery/deficiency of attributes or skills. A key issue is the…