Purdue University Psychometric Investigation Lab (PUPIL)
The Psychometric Investigation Lab (PUPIL) scholarly community offers consultation about educational assessment, data analytics, and research design.
Our Services
Statistics & Data Science Consulting at PUPIL Lab
Mission: Foster statistics and data science communications among social and behavioral sciences researchers
We offer help with:
- Method Advising
- Statistical Software (Winsteps, R, SAS, SPSS, Stata, Mplus, HLM, Python)
- Instrument Validation/Revision
- Experimental/ Quasi-experimental Design
Meet our Team Members
Led by: Prof. Hua-hua Chang, Prof. Anne Traynor, Prof. Yukiko Maeda
Xiyu Wang
Principal Consultant, Third-Year Doctoral Student in Educational Psychology and Research Methodology (EDPS)
Expertise: multilevel modeling, structural equation modeling, item response theory, factor analysis, other latent variable models
Software: R, SAS, HLM, Python and Mplus
Yuanfing Liu
Data Science Consultant, Ross-Lynn Post Doctoral Scholar
Expertise: psychometrics and data science methods for educational and psychological research, such as latent variable modeling, multilevel modeling, Bayesian inferences, structural equation model trees, and survival data analysis
Software: R, Mplus, SAS, SPSS, Stata, and Python
Jing Huang
Data Science Consultant, First-Year Doctoral Student in EDPS
Expertise: statistical modeling, machine learning, and the assessment of cognitive abilities and educational outcomes
Software: R, flexMIRT, Mplus
Xiuxiu Tang
Volunteer Consultant, Fifth-Year Doctoral Student in EDPS
Expertise: Data analysis design for potential grant-writers, AI applications in education, such as computerized adaptive testing, cognitive diagnosis, and advanced psychometric methods in STEM applications
Software: R, SPSS, Mplus, Python, SAS
Yuxiao Zhang
Volunteer Consultant, Third-Year Doctoral Student in EDPS
Expertise: latent variable modeling (e.g., cognitive diagnostic modeling, latent class analysis, structural equation modeling), multilevel modeling, and topic modeling
Software: Winsteps, R, R Markdown, SPSS, Mplus, Python, SAS
- Educational data analytics workshop series
- Consulting for local school districts, research and evaluation organizations, and international education agencies (sliding fee scale)
- Plus, EDPS 632 Advanced Methodology seminar courses, and a graduate certificate