About Us
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
Software Information
- R Software
- Stata Software
- SAS Software
- SPSS Software (available free for download through 8/31/20 from TAMU Software Center)
- Mplus Software
Lab Hours
718 Harrington Lab Temporarily Closed
Virtual Statistical & Quantitative Methods Help Available Now
E-mail the EREL at erel@tamu.edu for assistance and to be added to its Zoom channel.
Monday-Friday: 9:30 a.m. – 5:30 p.m.
Software Access (additional resources listed below):
Remote access to many software programs is available through the Virtual Open Access Lab (VOAL). Both quantitative software (e.g., JMO, SAS, SPSS, Stata) and qualitative software (e.g., Atlas. ti) are included.
VOAL Login Page: https://voal.tamu.edu/
VOAL Software List: https://oal.tamu.edu/Software/Software-List
718 Harrington Education Tower (Temporarily Closed)
EREL Leadership
Dr. Myeongsun Yoon
Associate Professor
Dr. Eunkyeng (Elly) Baek
Assistant Professor
Dr. Christopher Thompson
Assistant Professor
Graduate Student Assistants
Johnny Chien (johnny.chien@tamu.edu): 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 (haoranli@tamu.edu): 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 (wangnaike@tamu.edu): 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!