Statistical Consulting Services
The SAS Analytics Lab provides measurement and statistical consulting services to all members at The University of Mississippi.
Consulting services are free of charge and cover a variety of areas, including:
- Statistical questions about coursework
- Term papers
- Thesis/dissertations
- Journal articles
- Grant writings
Consulting services include, but are not limited to:
- Research design
- Data entry/mining/management
- Data analysis
- Findings’ reporting and interpretation
- General and advanced statistical help
- Class contents review
- Software tutorials
Research Safety
For safety purposes, if a consultant is reviewing client’s research data, the data must be de-identified, or the consultant must be added to the client’s IRB protocol prior to the consulting meetings. There are no exceptions for this rule. The consultant is not responsible for doing the clients’ work for them. Clients are encouraged to establish/use hourly consulting services (i.e., a contractual service) with the Lab if necessary. Please contact the SAS Analytics Lab Director, Dr. Minsoo Kang (kang@olemiss.edu) or consulting project leader, Dr. Taeyeon Oh (toh@olemiss.edu) for further details.
How to make an appointment?
To submit a request to meet with our consultants:
- Please refer to the table below to select the consultant whose areas of expertise seem to best meet your needs. Then, make an appointment by email or visit the lab office for a consulting service (GHM H203, 08:00 am – 05:00 pm).
- Please do not submit the same request to multiple consultants at the same time.
- If you don’t know who the best consultant is for your project, please email the consulting project leader, Dr. Taeyeon Oh for further assistance.
Student Consultants AY 2020-2021
| Name and Department | Analytics Expertise | Software Proficiency |
| Seungho Ryu Health, Exercise Science, and Recreation Management | General Linear Model Psychometrics (validity & reliability) Rasch model Meta-analysis Data management | SPSS SAS Comprehensive Meta-Analysis WINSTEPS |
| Siddhi Korgaonkar Pharmacy Administration | Study design for retrospective and survey data Complex survey data analyses Survival analysis Propensity score-based methods Categorical data analysis Moderation and Mediation Regression techniques Cost data analysis Univariate and bivariate analysis | SAS SPSS |
| Savannah Kelly Higher Education | Research Design Data exploration / Descriptive statistics General Linear Models (GLM) Multivariate Analysis Q Methodology Moderation and Mediation Analyses Longitudinal Analysis | SPSS SAS |
| Yiqiao Zhang (Joey) Pharmacy Administration | General Linear Models Applied Multivariate Analysis Statistical Mediation and Moderation Longitudinal Modeli | SPSS SAS |
| Jangwoo Jo Nutrition and Hospitality Management | Multivariate Analysis Multiple Regression CFA & SEM Mediation & Moderation Measurement Invariance Multi Group Analysis PLS-SEM ANOVA Factorial ANOVA Repeated Measures ANCOVA MANOVA Power Analysis Cluster Analysis EFA | SPSS AMOS Mplus SmartPLS |
How can I become a SAS Analytics Lab student consultant?
Every student with Graduate Minor in Applied Statistics (GMAS) in the University is eligible to apply to become a student statistical consultant. The lab recruits the new consultants every spring semester.