Introduction to Data Analysis with SPSS Online
This beginner-level workshop will introduce you to the basics of SPSS statistical software, how it works, and some basic descriptive statistics and statistical procedures. No prior knowledge of SPSS is required. This session will be recorded and made available openly.
Learning Outcomes: Get started with data analysis using SPSS after learning various functionalities of the software application.
Details: Any preparatory work for the session can be found on its information page. This virtual workshop will be recorded and shared on the same page, and discoverable via the Sherman Centre's Online Learning Catalogue.
Facilitator Bio:
Vivek Jadon (he/him) provides research support in the use of numeric research data. As part of his role, Vivek is McMaster University’s official representative for Statistics Canada’s Data Liberation Initiative (DLI) program and Inter-university Consortium for Political and Social Research (ICPSR). Both of these programs provide researchers with vast archive of research data from various disciplines for high quality research and instruction. Vivek is also involved in building awareness and promoting RDM activities/services at McMaster.
- Date:
- Thursday, November 14, 2024
- Time:
- 1:30pm - 3:30pm
- Time Zone:
- Eastern Time - US & Canada (change)
- Online:
- This is an online event. Event URL will be sent via registration email.
- Audience:
- Everyone
- Categories:
- DASH SCDS Sponsored Events Workshops
CODE OF CONDUCT
The Sherman Centre and the McMaster University Library are committed to fostering a supportive and inclusive environment for its presenters and participants. As a participant in this session, you agree to support and help cultivate an experience that is collaborative, respectful, and inclusive, as well as free of harassment, discrimination, and oppression. We reserve the right to remove participants who exhibit harassing, malicious or persistently disruptive behaviour. Please refer to our code of conduct webpage for more information.