Quantitative / Statistics
QUANTITATIVE RESEARCH & STATISTICS
The Odum Institute offers consulting services covering all stages of research involving quantitative data, which is numerical data collected for the purpose of revealing broader trends in a population or group, and typically analyzed using statistics.
Areas covered include research design, data management, statistical analysis, network data analysis, text analysis and more. Our consultants can also assist with formatting reports and creating publication-ready tables and graphs.
Full-time Consulting Staff
If, after meeting with our online consultants, you require support more in-depth consulting, full-time quantitative research consulting staff members — listed below — are available to offer consultations for theses, dissertations, grant proposals, publications and other research requirements.
Short consultations are available free-of-charge to UNC students, faculty and staff, while more in-depth assistance and support is provided on a cost-reimbursement basis.
To request a consultation with any of our consultants, please call or email them using the information listed below.
- Basic univariate & bivariate statistics
- Regression analysis (linear/generalized linear models)
- Analysis of Variance (ANOVA)
- Hierarchical Linear Models(HLM)/Multilevel Modeling (MLM, GLMM)
- Network Modeling (GIMME, graphicalVAR,MLVAR)
- Survival Analysis/Discrete time methods
- Interrupted time series analysis
- Structural equation modeling(SEM)/Factor Analysis(EFA,CFA)
- Power and Sample Size
- Data visualization
- Topic modeling
Software:
- SAS
- R
- Basic Univariate & Bivariate Statistics
- Categorical/Limited Dependent Variable Regression Models
- Experimental design and analysis of variance
- Generalized Linear Model
- Hierarchical Linear Modeling or Mixed Models
- Item Response Theory
- Survival Analysis
- Weighting Survey Data
- Power and Sample Size
- Survey Data (Complex Sampling Design) Analysis
- Data visualization & presentation
- Optimization Methods (EM, Newton-Raphson)
Software:
- SAS
- Stata
- SPSS
Drop-In Stats Help-Desk
Consultants are available to answer your statistical analysis and programing questions Tuesday through Friday during the drop-in hours noted in the schedule below.
Drop-in Stats Help-Desk will be closed Thur 3/13 and Fri 3/14 for Spring Break
- Tuesdays: 10am-12pm Virtual and in-person with Ruy Manrique at Carolina Square,123 W. Franklin St, Suite 330A Rm 3165-D
https://go.unc.edu/StatsRuy - Wednesdays: 9am-1pm Virtual and in-person with David Lopez at Carolina Square,123 W. Franklin St, Suite 330A Rm 3165-C
https://go.unc.edu/StatsDavid - Thursdays: 10am-12pm Virtual and in-person with Ruy Manrique at Carolina Square,123 W. Franklin St, Suite 330A Rm 3165-D
https://go.unc.edu/StatsRuy - Fridays: 9am-3pm Virtual and in-person with David Lopez at Carolina Square,123 W. Franklin St, Suite 330A
Rm 3165-C
https://go.unc.edu/StatsDavid
Ruy Manrique
Helpdesk Consultant
Areas of Expertise: Data management, code troubleshooting, research design, statistical analysis. Regression (OLS, panel data, multilevel, generalized linear models), survival analysis, factor analysis.
Statistical software: Stata (main), R, SAS, SPSS.
Areas of Interest:
Race and Ethnicity, Latina/o sociology, Social Mobility, Mixed Methods, Immigrant Incorporation, Demography
David Lopez
Helpdesk Consultant
Areas of Expertise: code troubleshooting, statistical analysis, regression (OLS), survival analysis, categorical data analysis, machine learning, longitudinal data analysis, data management in SAS
Statistical Software: R (main), SAS
Areas of Interest: cancer, disease development/prediction, missing/mismanaged data, data science
Data Collection
Odum can help with quantitative data collection, including survey design and implementation, as well as assistance with database setup and uses. For more information on our survey design and implementation support, please visit our survey page.