Shenghai Dai, PhD
Associate Professor
Department of Kinesiology and Educational Psychology
s.dai@wsu.edu
CV | Google Scholar | LinkedIn | GitHub
Psychometrics and quantitative methodology, item response theory, cognitive diagnostic models, large-scale assessments and surveys, multilevel modeling, structural equation modeling, longitudinal data analysis, machine learning, and missing data.
Current Students
Mariam Ola
Educational measurement, psychometrics, quantitative methodology, and applied statistics
mariam.ola@wsu.edu
Undergraduate Students
Gerontechnology-Focused Student Undergraduate Research Experience (GSUR) Summer Internship
- Joshua Vinson (Cohort 2026)
- Project: Associations Between Gait and Cognitive and Mental Health Outcomes in Older Adults
- Project: Associations Between Gait and Cognitive and Mental Health Outcomes in Older Adults
- Destinee Winston (Cohort 2026)
- Project: Associations Between GPS-Derived Location Mobility, Momentary Experiences, and Cognitive Functioning Among Older Adults
- Evan French (Cohort 2025)
- Project: Mental Alertness and Heart Rate via Smartwatch Predict Everyday Cognition: Multilevel and Person-Specific Analyses (presented at the International Society for Gerontechnology 15th World Conference)
- Jaehong Lee (Cohort 2024)
- Project: Examining Consistency and Accuracy of Machine Learning Methods for Predicting Cognition using N-back Measures (presented at the International Neuropsychological Society Annual Meeting)
- WSU SURCA 2025 Crimson Award in Computer Science, Mathematics, Statistics, and Information Sciences
Graduated Students
Antranik Kirakosian, Ph.D.
(Class of 2025)
Dissertation: Exploratory Investigation of Mathematics Engagement In Digitally Based Assessments: Evidence From NAEP Process Data
Onur Ramazan, Ph.D.
(Class of 2025)
Dissertation: Examining Measurement Invariance and Differential Item Functioning in Reading Self-Concept
Olasunkanmi Kehinde, Ph.D.
(Class of 2024)
Dissertation: Unveiling Learning Pathways: Exploring Q-Matrix Designs with Hierarchical Cognitive Attributes in Longitudinal Diagnostic Classification Models
