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Data Analysis

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 (ArgabrightL@uncw.edu).

Spring Drop-in Hours (January 10 - May 6, 2024)

Mondays from 3:00 - 6:00 (Zoom only--we will update this page once we are able to return to in-person availability as well)

Wednesdays from 2:00 - 5:00 (Zoom only--we will update this page once we are able to return to in-person availability as well)

Thursdays from 10:00 - 1:00 (Zoom only for full semester)

Zoom (https://lib.uncw.edu/uncwDataAnalysis) or In-person (Randall Library, room 1023H, which is a room just past the New and Popular books area on the first floor).

In person consultations are available upon request during Monday and Wednesday hours. This will temporarily be in a different location on campus--please email DataAnalysis-Lib@uncw.edu if needed

Data Analysis Drop In Hours

 

If you're not available during these times, you may direct your data analysis questions to DataAnalysis-Lib@uncw.edu 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

Brittanie Moore (she/her)
4th year Psychology Ph.D. candidate
Data Analysis Specialties: Group comparisons like t-tests and ANOVA, tests using continuous data like correlation and regression. Path analysis, structural equation modelling, experimental design including within subject designs.

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: https://digitalmakerspace.uncw.edu/techcheckout

Professional Development Opportunities