School of Applied Sciences

The University of Mississippi

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 DepartmentAnalytics ExpertiseSoftware 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.