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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 programing questions Monday through Friday during the hours noted in the schedule at the bottom of the page.

You can connect with consultants using Slack or Microsoft Teams. Information on how to connect to our channels is below.

Get connected:

Slack:

  • Join our Odum consulting Slack workspace.
  • Visit the #stats-help-desk channel during desk hours and post your question. If you need help with a specific topic (i.e. machine learning, NLP, time series) or are using a specific software (i.e. R, SAS, SPSS) please check the consultants’ specialties in the schedule below and post during their hours.
  • Consultants will discuss your needs with you and share their Zoom IDs as needed.
  • Finally, use these articles to leave the workspace, leave the channel or mute notifications once your session is complete.

 
Microsoft Teams:
**Mac users may 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 private message or folder.

  • Join the Stats Desk Team.
  • Post your question during desk hours.
  • If you need help with a specific topic (i.e. machine learning, NLP, time series) or are using a specific software (i.e. R, SAS, SPSS) please check the consultants’ specialties in the schedule below and post during their hours.
  • Consultants will discuss your needs with you and share their Zoom IDs as needed.
  • Finally, use these articles to leave the Team or change your notifications settings.

 

Use the table below to find the help desk consultant best-suited to answering your research questions:

Fall 2021 (September 7 - December 17) - No hours during Univ HolidaysMONDAY
TUESDAY
WEDNESDAY
THURSDAYFRIDAY
9:00AM - 11:30AMKyle
Political Science
Multiple Regression (OLS, GLM, Multi-level Modeling), Time Series Analysis, Causal Inference, Social Network Analysis, Bayesian Statistics,
Web-scraping,
Measurement Models, Machine Learning, Web-scraping and Data Wrangling, Python, R, Stan, LaTeX, SPSS
Jon (9am-2pm)
Social Work
R, Stata, SAS, Regression (OLS, GLM, Multilevel models), Mediation analysis, Healthcare and insurance claims data, Census data, Weighted survey data, Intervention research and program evaluation
Kyle
Political Science
Multiple Regression (OLS, GLM, Multi-level Modeling), Time Series Analysis, Causal Inference, Social Network Analysis, Bayesian Statistics,
Web-scraping,
Measurement Models, Machine Learning, Web-scraping and Data Wrangling, Python, R, Stan, LaTeX, SPSS
Jon (9am-12pm)
Social Work
R, Stata, SAS, Regression (OLS, GLM, Multilevel models), Mediation analysis, Healthcare and insurance claims data, Census data, Weighted survey data, Intervention research and program evaluation
Jimmy (9am-12pm)
Information Science
Python, Microsoft SQL, SPSS
Afternoons (See times for specific consultant)Jonathan (12pm-3pm)
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 (2pm-4pm)
Epidemiology
Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel
Bailey (2pm-4pm)
Epidemiology
Regression (all types), Weighted survey data, Survival analysis, SAS, Stata, Excel
Jonathan (12pm-3pm)
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 (12pm-3pm)
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

If you have trouble accessing any of the above 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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