Introduction to SPSS for Descriptive and Inferential Statistics

Quantitative Methods Workshop Series

Introduction to SPSS for Descriptive and Inferential Statistics. The course takes place on Nov 16 and Nov 23 (3:00 pm - 5:00 pm)

Instructor: Natalie Sisson, MA (n.sisson@mail.utoronto.ca)In this workshop, you will learn how to clean and prepare data (e.g., recode variables, create composites), and conduct descriptive and inferential analyses using SPSS, including: means and sums, t-tests, one-way ANOVAs, correlations, and multiple regressions.This course is intended for anybody who has no or little prior experience with SPSS and wishes to develop a basic understanding of the program and syntax. No prior experience with SPSS is necessary. We will cover some review of the conceptual knowledge behind conducting each analysis, but the focus will be on how to conduct and interpret analyses in SPSS. 

Note: The use of your own laptop is necessary for this course. It is also necessary to have an SPSS subscription for this course. YorkU students may access SPSS here: https://www.yorku.ca/uit/faculty-staff-services/myapps/F﻿or more details, please visit: https://qm.info.yorku.ca/qmws/

Our {communityGuidelinesLink} describe the sort of content we prohibit on Eventbrite. If you suspect an event may be in violation, you can report it to us so we can investigate.

To report other categories of prohibited or illegal content, submit {link}

Introduction to SPSS for Descriptive and Inferential Statistics

More events from Quantitative Methods Workshop Series

Follow organizers to get events picked for you

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.

Introduction to SPSS for Descriptive and Inferential Statistics

More events from Quantitative Methods Workshop Series

Follow organizers to get events picked for you

You might also like...

Sign-In for personalized recommendations

Still looking for the right event?

Explore all online events to browse and filter by date, category, and more.