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Data Analysis--Quantitative

Resources and video guidance on conducting quantitative data analysis for researchers

Data Analysis Help

Randall Library is now providing drop-in consultation hours for research data analysis in SPSS, R, and Excel. Students, faculty, and staff are welcome to stop in, unannounced, for help with issues such as:

  • Statistics
    • statistical support during research design (before/as you begin a project)
    • exploratory / inferential analysis
    • guidance on choosing an appropriate statistical test
  • Coding
    • code debugging in R
    • determining how to incorporate R, SPSS, or Excel software for use in a research project
    • basic navigation within analysis tools R. SPSS, or Excel.

If you have questions or feedback about this service, please direct your inquiries to Lynnee Argabright, Research Data Librarian at UNCW (

Fall Drop-in Hours (August 21 - December 12, 2024)

Fall hours will be posted in August. The Data Analysis Lab will be expanding its services in the fall--please wait for updates coming soon!

We are currently recruiting for a new student worker for fall! Please consider applying: 

Summer Drop-in Hours (May 8 - June 26, 2024)

Summer 2024 schedule for May and June

Linden's availability (May and June): Zoom link

Mondays: 10:00-1:00 
Tuesdays: 10:00-1:00 
Wednesdays: 10:00-2:00 

Drop-in consultations are available over Zoom ( We do NOT reserve scheduled appointments with patrons to use this service--just drop in for your individual consultation!

If you're not available during these times, you may direct your data analysis questions to with details about the background and problems you are facing with your code (screenshots or code files could be helpful reference as well). During the next available drop-in hours, we will look into the issues and get back to you by email.

About our data help desk consultant

Linden Hillhouse (she/her)
5th year Psychology Ph.D. candidate
Data Analysis Specialties: Graphical representations of data like histograms and boxplots. Group comparisons like t-tests and ANOVA, tests using continuous data like correlation and regression. Factor analysis, structural equation modelling, mediation and moderation analyses.

Calculators at the Library

As of Fall 2022, Randall Library is now lending graphing calculators – TI-83 & 84 Plus, including 11 python-capable TI-84 Plus – for 24-hour loans. Refer to the Texas Instruments TI-83 and the TI-84 manuals for how to use them.

Check them out at the library's Digital Makerspace:

Professional Development Opportunities