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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.
 


Online Statistical Support


Advanced graduate students are available to answer your statistical analysis and programming questions virtually through Slack, Microsoft Teams and Zoom. You can also reach the desk via email at odum.lab.consultants@unc.edu. Information on how to connect to our different channels can be found below. Please Note: The Statistical Virtual Help Desk will be closed for the Winter Break (12/19/2020 – 1/3/2021)
 
Use the table below to find the help desk consultant best-suited to answer your research questions: /strong>

August 24, 2020 - December 18, 2020 (Closed for winter break 12/19 - 1/3)MONDAY
TUESDAY
WEDNESDAY
THURSDAYFRIDAY
10:00AM - 12:00PM (unless otherswise noted) Bailey
Epidemiology
Regression (all types);
Weighted survey data;
Survival analysis;
SAS; Stata; Excel
Bailey
Epidemiology
Regression (all types);
Weighted survey data;
Survival analysis;
SAS; Stata; Excel
Bailey
Epidemiology
Regression (all types);
Weighted survey data;
Survival analysis;
SAS; Stata; Excel
Denise
Epidemiology
OLS; GLM; Longitudinal Data; Multilevel Modeling; Survival Analysis;
SAS; R; Excel
Denise
Epidemiology
OLS; GLM; Longitudinal Data; Multilevel Modeling; Survival Analysis;
SAS; R; Excel
12:00PM - 2:00PM(unless otherswise noted) Jonathan (12:30pm-2pm)Media and Communication
R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics
Jonathan
Media and Communication
R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics
Jonathan (12:30pm-2pm)
Media and Communication
R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics
Jonathan
Media and Communication
R, Python, SQL, SPSS, Tableau, ArcGIS, Topic Modeling, Machine Learning, Data Mining, Clustering Models, NLP, Text Mining, Network Analysis, GIS, Remote Sensing, Statistics
Bailey
Epidemiology
Regression (all types);
Weighted survey data;
Survival analysis;
SAS; Stata; Excel
2:00PM - 4:00PMBailey
Epidemiology
Regression (all types);
Weighted survey data;
Survival analysis;
SAS; Stata; Excel
Bailey
Epidemiology
Regression (all types);
Weighted survey data;
Survival analysis;
SAS; Stata; Excel
Bailey
Epidemiology
Regression (all types);
Weighted survey data;
Survival analysis;
SAS; Stata; Excel

Bailey
Epidemiology
Regression (all types);
Weighted survey data;
Survival analysis;
SAS; Stata; Excel
Denise
Epidemiology
OLS; GLM; Longitudinal Data; Multilevel Modeling; Survival Analysis;
SAS; R; Excel

Get connected:

Slack:

 
Microsoft Teams:

  • Chat with consultants by joining the Stats Desk Team.
  • Finally, use these articles to leave the Team or change your notifications settings.
  • Mac users occasionally have trouble with the desktop client. If that is the case, we encourage you to try the browser app instead.
  • Teams should be used when sharing sensitive data. Once you explain your needs to the consultant, they can help you share your data via a private message or folder.***

 
Zoom:

  • Each consultant has a personal meeting room on Zoom with a waiting room enabled. Individual consultants will share their Zoom IDs as needed after first discussing your needs in one of the two channels above.

 
If you have trouble accessing any of these channels, please email oduminstitute@unc.edu. If your email is not answered in a timely manner, please contact Rocky Riviella at riviella@email.unc.edu.

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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.


A headshot of Cathy Zimmer.

Cathy Zimmer

Statistics Consultant


crzimmer@ad.unc.edu


A headshot of Chris Wiesen.

Chris Wiesen

Statistics Consultant

919-357-3583
chris_wiesen@unc.edu

 

Methods:

  • 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

***Members of our survey research team can assist with survey design and distribution for quantitative data collection.

Methods:

  • Basic Univariate & Bivariate Statistics
  • Multiple Regression Models
  • Categorical/Limited Dependent Variable Regression Models
  • Generalized Linear Model
  • Hierarchical Linear Modeling or Mixed Models
  • Survival Analysis
  • Survey Data (Complex Sampling Design) Analysis
  • Structural Equation Modeling (SEM), including Confirmatory Factor Analysis (CFA) and Path Analysis

Software:

  • Stata
  • Mplus
  • SPSS

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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. If you need to explore options for storing and processing data in large quantities, check out our research data information systems page.

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