Educational Research and Evaluation Laboratory
The Educational Research and Evaluation Laboratory (EREL) features 10 computers with select statistical software — Mplus, RStudio, SPSS, and Stata — available for use, in addition to three machines reserved for Research, Measurement, and Statistics faculty and graduate student use. We also offer:
- Consultation on quantitative research questions
- Consultation on appropriate statistical analyses
- Consultation on appropriate statistical software and computer code
718 Harrington Lab Temporarily Closed
Virtual Statistical & Quantitative Methods Help Available Now
E-mail the EREL at firstname.lastname@example.org for assistance and to be added to its Zoom channel.
Monday – Friday: 9:30 a.m. – 5:30 p.m.
Graduate Student Assistants
Johnny Chien (email@example.com): This is my fifth year in the RMS program. My methodical research focuses on structural equation modeling, multilevel modeling, and machine learning. I have been TA for EPSY640, EPSY641, EPSY651, and EPSY652. Primary statistics software I used include Mplus, STATA, SPSS, and R. I enjoy helping students and sharing my knowledge and experiences.
Haoran Li (firstname.lastname@example.org): I am a second-year doctoral student with a master’s degree in applied psychology. Methodologically, I am interested in multi-level modeling, structural equation modeling and longitudinal analysis. I am interested in analyzing longitudinal development of cognitive ability and changes in academic motivation.
Naike Wang (email@example.com): This is my third year in the RMS doctoral program. I have a Master’s degree in Forensic Mental Health Counseling. My current research interests involve meta-analysis and Bayesian statistics. I am also passionate about teaching statistics. Feel free to ask me questions about statistics and our program via email!
718 Harrington Education Tower (Temporarily Closed)