Amery D Wu
Biographic Data
| ID | 4263282 |
|---|---|
| NAME | Amery D Wu |
| GIVEN NAMES | Amery D |
| FAMILY NAME | Wu |
| SIGNATURE | WU A D |
| AFFILIATIONS | University of British Columbia |
| ORCID | 0000-0003-0340-197X |
| VERIFIED | Yes |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 69 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 2 |
Assessing fairness in AI-assisted writing scoring
Automated essay scoring (AES) is increasingly utilized in educational settings, yet concerns about its fairness persist. This study reviews current fairness measures in AES and summarizes their respective strengths and weaknesses. Drawing on principles from educational and psychological testing, we introduce two measures for detecting potential predictive bias: conditional disparity ratio and conditional disparity difference. Our method emphasize…
Scoping review on natural language processing applications in counselling and psychotherapy
Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021. The purpose of this scoping review is to identify trends, advancements, challenges and limitations of these applications. Among the 41 papers included in th…
Predicting Patterns of Problematic Smartphone Use among University Students
University students are consistently ranked among the highest users of smartphones. As such, recent research has focused on examining the antecedents and consequences of problematic smartphone use among university students. While this work has been instrumental to our understanding of the risk and protective factors of developing problematic smartphone use, it has been largely variable-centered and thus fails to recognize the diversity with which…
Bayesian Mixed Effects Model and Data Visualization for Understanding Item Response Time and Response Order in Open Online Assessment
Open (open-book) online assessment has become a great tool in higher education, which is frequently used for monitoring learning progress and teaching effectiveness. It has been gaining popularity because it is flexible to use and makes response behavior data available for researchers to study response processes. However, some challenges are encountered in analyzing these data, such as how to handle outlying response time, how to make use of the …
Item Response Tree Models to Investigate Acquiescence and Extreme Response Styles in Likert-Type Rating Scales
Item response tree (IRTree) models are recently introduced as an approach to modeling response data from Likert-type rating scales. IRTree models are particularly useful to capture a variety of individuals' behaviors involving in item responding. This study employed IRTree models to investigate response styles, which are individuals' tendencies to prefer or avoid certain response categories in a rating scale. Specifically, we introduced two types…
Investigating site-level longitudinal effects of population health interventions
There is limited research on evaluating nonrandomized population health interventions. We aimed to introduce a new approach for assessing site-level longitudinal effects of population health interventions (SLEPHI) by innovatively applying multiple group multilevel (MG-ML) modeling to repeated cycles of cross-sectional data collected from different individuals of the same sites at different times, a design commonly employed in public health resear…
Academic achievement of diverse K-12 students in inclusive three-block model classrooms
The academic achievement of diverse kindergarten to grade 12 students in inclusive classrooms implementing the Three-Block Model (TBM) of universal design for learning was investigated. Fifty-one teachers and 684 of their students, including students with disabilities, students who were English language learners (ELL), and Indigenous students, participated in treatment and control groups. Results indicated significant differences between the two …
Evaluating the Reliability and Validity of the Self-Compassion Scale Short Form Adapted for Children Ages 8–12
What Type of Social Support Influences Self-Reported Physical and Mental Health Among Older Women
For clinicians, assessing individuals' emotional support is important for maintaining or increasing physical and mental health. Clinicians can also assess Asian women's stress, providing informational support accordingly as too much information could be detrimental to their health. For researchers, the inclusion of emotional support items is the most important
A Demonstration of the Impact of Outliers on the Decisions About the Number of Factors in Exploratory Factor Analysis
Previous studies have rarely examined the impact of outliers on the decisions about the number of factors to extract in an exploratory factor analysis. The few studies that have investigated this issue have arrived at contradictory conclusions regarding whether outliers inflated or deflated the number of factors extracted. By systematically inducing outliers as well as computer simulations based on real data, the present study demonstrated how ou…
The Impact of Outliers on Cronbach’s Coefficient Alpha Estimate of Reliability
In a recent Monte Carlo simulation study, Liu and Zumbo showed that outliers can severely inflate the estimates of Cronbach’s coefficient alpha for continuous item response data—visual analogue response format. Little, however, is known about the effect of outliers for ordinal item response data—also commonly referred to as Likert, Likert-type, ordered categorical, or ordinal/rating scale item responses. Building on the work of Liu and Zumbo, the…
Multiple-Indicator Multilevel Growth Model
Understanding and Using Mediators and Moderators
Understanding and Using Mediators and Moderators
Multiple-Indicator Multilevel Growth Model
Evaluating the Reliability and Validity of the Self-Compassion Scale Short Form Adapted for Children Ages 8–12
What Type of Social Support Influences Self-Reported Physical and Mental Health Among Older Women
For clinicians, assessing individuals' emotional support is important for maintaining or increasing physical and mental health. Clinicians can also assess Asian women's stress, providing informational support accordingly as too much information could be detrimental to their health. For researchers, the inclusion of emotional support items is the most important
Academic achievement of diverse K-12 students in inclusive three-block model classrooms
The academic achievement of diverse kindergarten to grade 12 students in inclusive classrooms implementing the Three-Block Model (TBM) of universal design for learning was investigated. Fifty-one teachers and 684 of their students, including students with disabilities, students who were English language learners (ELL), and Indigenous students, participated in treatment and control groups. Results indicated significant differences between the two …
Understanding and Using Mediators and Moderators
The Impact of Outliers on Cronbach’s Coefficient Alpha Estimate of Reliability
In a recent Monte Carlo simulation study, Liu and Zumbo showed that outliers can severely inflate the estimates of Cronbach’s coefficient alpha for continuous item response data—visual analogue response format. Little, however, is known about the effect of outliers for ordinal item response data—also commonly referred to as Likert, Likert-type, ordered categorical, or ordinal/rating scale item responses. Building on the work of Liu and Zumbo, the…
Multiple-Indicator Multilevel Growth Model
A Demonstration of the Impact of Outliers on the Decisions About the Number of Factors in Exploratory Factor Analysis
Previous studies have rarely examined the impact of outliers on the decisions about the number of factors to extract in an exploratory factor analysis. The few studies that have investigated this issue have arrived at contradictory conclusions regarding whether outliers inflated or deflated the number of factors extracted. By systematically inducing outliers as well as computer simulations based on real data, the present study demonstrated how ou…
What Type of Social Support Influences Self-Reported Physical and Mental Health Among Older Women
For clinicians, assessing individuals' emotional support is important for maintaining or increasing physical and mental health. Clinicians can also assess Asian women's stress, providing informational support accordingly as too much information could be detrimental to their health. For researchers, the inclusion of emotional support items is the most important
Evaluating the Reliability and Validity of the Self-Compassion Scale Short Form Adapted for Children Ages 8–12
Item Response Tree Models to Investigate Acquiescence and Extreme Response Styles in Likert-Type Rating Scales
Item response tree (IRTree) models are recently introduced as an approach to modeling response data from Likert-type rating scales. IRTree models are particularly useful to capture a variety of individuals' behaviors involving in item responding. This study employed IRTree models to investigate response styles, which are individuals' tendencies to prefer or avoid certain response categories in a rating scale. Specifically, we introduced two types…
Investigating site-level longitudinal effects of population health interventions
There is limited research on evaluating nonrandomized population health interventions. We aimed to introduce a new approach for assessing site-level longitudinal effects of population health interventions (SLEPHI) by innovatively applying multiple group multilevel (MG-ML) modeling to repeated cycles of cross-sectional data collected from different individuals of the same sites at different times, a design commonly employed in public health resear…
Academic achievement of diverse K-12 students in inclusive three-block model classrooms
The academic achievement of diverse kindergarten to grade 12 students in inclusive classrooms implementing the Three-Block Model (TBM) of universal design for learning was investigated. Fifty-one teachers and 684 of their students, including students with disabilities, students who were English language learners (ELL), and Indigenous students, participated in treatment and control groups. Results indicated significant differences between the two …
Bayesian Mixed Effects Model and Data Visualization for Understanding Item Response Time and Response Order in Open Online Assessment
Open (open-book) online assessment has become a great tool in higher education, which is frequently used for monitoring learning progress and teaching effectiveness. It has been gaining popularity because it is flexible to use and makes response behavior data available for researchers to study response processes. However, some challenges are encountered in analyzing these data, such as how to handle outlying response time, how to make use of the …
Predicting Patterns of Problematic Smartphone Use among University Students
University students are consistently ranked among the highest users of smartphones. As such, recent research has focused on examining the antecedents and consequences of problematic smartphone use among university students. While this work has been instrumental to our understanding of the risk and protective factors of developing problematic smartphone use, it has been largely variable-centered and thus fails to recognize the diversity with which…
Scoping review on natural language processing applications in counselling and psychotherapy
Recent years have witnessed some rapid and tremendous progress in natural language processing (NLP) techniques that are used to analyse text data. This study endeavours to offer an up‐to‐date review of NLP applications by examining their use in counselling and psychotherapy from 1990 to 2021. The purpose of this scoping review is to identify trends, advancements, challenges and limitations of these applications. Among the 41 papers included in th…
Assessing fairness in AI-assisted writing scoring
Automated essay scoring (AES) is increasingly utilized in educational settings, yet concerns about its fairness persist. This study reviews current fairness measures in AES and summarizes their respective strengths and weaknesses. Drawing on principles from educational and psychological testing, we introduce two measures for detecting potential predictive bias: conditional disparity ratio and conditional disparity difference. Our method emphasize…
Psychology (11 works) · Computer Science (5 works) · Mathematics (5 works) · Psychometrics (5 works) · Statistics (5 works) · Developmental psychology (4 works) · Clinical Psychology (3 works) · Econometrics (3 works) · Medicine (3 works) · Psychiatry (3 works)