Sun‐Joo Cho
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View article: Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models
Explaining Person-by-Item Responses using Person- and Item-Level Predictors via Random Forests and Interpretable Machine Learning in Explanatory Item Response Models Open
This study incorporates a random forest (RF) approach to probe complex interactions and nonlinearity among predictors into an item response model with the goal of using a hybrid approach to outperform either an RF or explanatory item respo…
View article: LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports
LLMs as Educational Analysts: Transforming Multimodal Data Traces into Actionable Reading Assessment Reports Open
Reading assessments are essential for enhancing students' comprehension, yet many EdTech applications focus mainly on outcome-based metrics, providing limited insights into student behavior and cognition. This study investigates the use of…
View article: Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking
Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking Open
Understanding reader behaviors such as skimming, deep reading, and scanning is essential for improving educational instruction. While prior eye-tracking studies have trained models to recognize reading behaviors, they often rely on instruc…
View article: Reduced on-line speech gesture integration during multimodal language processing in adults with moderate-severe traumatic brain injury: Evidence from eye-tracking
Reduced on-line speech gesture integration during multimodal language processing in adults with moderate-severe traumatic brain injury: Evidence from eye-tracking Open
We demonstrated evidence of reduced speech-gesture integration in participants with TBI relative to non-injured peers. This study advances our understanding of the communicative abilities of adults with TBI and could lead to a more mechani…
View article: Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM
Comparing Functional Trend and Learning among Groups in Intensive Binary Longitudinal Eye-Tracking Data using By-Variable Smooth Functions of GAMM Open
This paper presents a model specification for group comparisons regarding a functional trend over time within a trial and learning across a series of trials in intensive binary longitudinal eye-tracking data. The functional trend and learn…
View article: Differential and Functional Response Time Item Analysis: An Application to Understanding Paper versus Digital Reading Processes
Differential and Functional Response Time Item Analysis: An Application to Understanding Paper versus Digital Reading Processes Open
Despite the growing interest in incorporating response time data into item response models, there has been a lack of research investigating how the effect of speed on the probability of a correct response varies across different groups (e.…
View article: Using Auxiliary Item Information in the Item Parameter Estimation of a Graded Response Model for a Small to Medium Sample Size: Empirical Versus Hierarchical Bayes Estimation
Using Auxiliary Item Information in the Item Parameter Estimation of a Graded Response Model for a Small to Medium Sample Size: Empirical Versus Hierarchical Bayes Estimation Open
Marginal maximum likelihood estimation (MMLE) is commonly used for item response theory item parameter estimation. However, sufficiently large sample sizes are not always possible when studying rare populations. In this paper, empirical Ba…
View article: Modelling change processes in multivariate interrupted time series data using a multivariate dynamic additive model: An application to heart rate and blood pressure self-monitoring in heart failure with drug changes
Modelling change processes in multivariate interrupted time series data using a multivariate dynamic additive model: An application to heart rate and blood pressure self-monitoring in heart failure with drug changes Open
Heart rate (HR) and blood pressure (BP) measured by a patient can be used to monitor response to pharmacologic therapies. Continuously measured HR and BP are multivariate time series as sequences of values at regularly spaced intervals ove…
View article: Development and Validation of a Brief Version of the Vanderbilt Fatigue Scale for Adults: The VFS-A-10
Development and Validation of a Brief Version of the Vanderbilt Fatigue Scale for Adults: The VFS-A-10 Open
Objectives: Listening-related fatigue can be a significant problem for adults who struggle to hear and understand, particularly adults with hearing loss. However, valid, sensitive, and clinically useful measures for listening-related fatig…
View article: The Effective Sample Size in Bayesian Information Criterion for Level-Specific Fixed and Random Effects Selection in a Two-Level Nested Model
The Effective Sample Size in Bayesian Information Criterion for Level-Specific Fixed and Random Effects Selection in a Two-Level Nested Model Open
Popular statistical software provides Bayesian information criterion (BIC) for multilevel models or linear mixed models. However, it has been observed that the combination of statistical literature and software documentation has led to dis…
View article: Development and Evaluation of Pediatric Versions of the Vanderbilt Fatigue Scale for Children With Hearing Loss
Development and Evaluation of Pediatric Versions of the Vanderbilt Fatigue Scale for Children With Hearing Loss Open
Purpose: Growing evidence suggests that fatigue associated with listening difficulties is particularly problematic for children with hearing loss (CHL). However, sensitive, reliable, and valid measures of listening-related fatigue do not e…
View article: Space-time modeling of intensive binary time series eye-tracking data using a generalized additive logistic regression model.
Space-time modeling of intensive binary time series eye-tracking data using a generalized additive logistic regression model. Open
Eye-tracking has emerged as a popular method for empirical studies of cognitive processes across multiple substantive research areas. Eye-tracking systems are capable of automatically generating fixation-location data over time at high tem…
View article: Novel and familiar object recognition rely on the same ability.
Novel and familiar object recognition rely on the same ability. Open
There is recent evidence for a domain-general object recognition ability, called O, which is distinct from general intelligence and other cognitive and personality constructs. We extend the study of O by characterizing how it generalizes t…
View article: Development and validation of the Vanderbilt Fatigue Scale for Adults (VFS-A).
Development and validation of the Vanderbilt Fatigue Scale for Adults (VFS-A). Open
Listening-related fatigue can be a significant burden for adults with hearing loss (AHL), and potentially those with other health or language-related issues (e.g., multiple sclerosis, traumatic brain injury, second language learners) who m…
View article: Modeling Multivariate Count Time Series Data with a Vector Poisson Log-Normal Additive Model: Applications to Testing Treatment Effects in Single-Case Designs
Modeling Multivariate Count Time Series Data with a Vector Poisson Log-Normal Additive Model: Applications to Testing Treatment Effects in Single-Case Designs Open
In education and psychology, single-case designs (SCDs) have been used to detect treatment effects using time series data in the presence or absence of intervention. One popular design variant of SCDs is a multiple-baseline design for mult…
View article: Data for Sunday et al. 2020 submission
Data for Sunday et al. 2020 submission Open
See Sunday et al., 2020 "Novel and familiar object recognition rely on the same ability" for details
View article: Data for Sunday et al. 2020 submission
Data for Sunday et al. 2020 submission Open
See Sunday et al., 2020 "Novel and familiar object recognition rely on the same ability" for details
View article: o is the same for familiar and novel objects
o is the same for familiar and novel objects Open
Recent work (Richler et al., 2019) revealed a reliable domain-general object recognition ability, o, independent from general intelligence. o was originally measured only with novel objects to avoid the problem of variability in experience…
View article: Self‐Priming in Production: Evidence for a Hybrid Model of Syntactic Priming
Self‐Priming in Production: Evidence for a Hybrid Model of Syntactic Priming Open
Syntactic priming in language production is the increased likelihood of using a recently encountered syntactic structure. In this paper, we examine two theories of why speakers can be primed: error‐driven learning accounts (Bock, Dell, Cha…
View article: The Online Social Support Scale: Measure development and validation.
The Online Social Support Scale: Measure development and validation. Open
A new measure, the Online Social Support Scale, was developed based on previous theory, research, and measurement of in-person social support. It includes four subscales: Esteem/Emotional Support, Social Companionship, Informational Suppor…
View article: Use of Information Criteria in the Study of Group Differences in Trace Lines
Use of Information Criteria in the Study of Group Differences in Trace Lines Open
A brief review of various information criteria is presented for the detection of differential item functioning (DIF) under item response theory (IRT). An illustration of using information criteria for model selection as well as results wit…
View article: Validating parent and child forms of the Parent Perception Inventory.
Validating parent and child forms of the Parent Perception Inventory. Open
Understanding parenting from both parent and child perspectives is critical to child clinical and developmental research. Similarities and differences between parents' and children's reports can be highly informative, but only if they deri…
View article: Self-priming in production: evidence for a hybrid model of syntactic priming
Self-priming in production: evidence for a hybrid model of syntactic priming Open
Syntactic priming in language production is the increased likelihood of using a recently encountered syntactic structure. In this paper, we examine two theories of why speakers can be primed: error-driven learning accounts (Bock, Dell, Cha…
View article: Item response theory analyses of the Delis-Kaplan Executive Function System card sorting subtest
Item response theory analyses of the Delis-Kaplan Executive Function System card sorting subtest Open
In the current study, we examined the dimensionality of the 16-item Card Sorting subtest of the Delis-Kaplan Executive Functioning System assessment in a sample of 264 native English-speaking children between the ages of 9 and 15 years. We…