This course offers a comprehensive introduction to using IBM SPSS Statistics software for data analysis and data management. Its focus is on the practical skills needed for using SPSS in quantitative research. It is not intended as an introduction to statistics.
The course runs over 4 days in 3-hour sessions in a computer lab on Windows PCs. It is presented in a workshop format and involves a number of hands-on examples and exercises. SPSS Statistics for Windows, release 23, is used during the course, however it is also suitable for Mac users. Course notes will be provided. You do not need to bring a laptop.
Who is this course for?
The course is perfect for students who conduct research that requires statistical analysis of data but have no or minimal experience in using SPSS.
It is expected that participants have an understanding of the purpose of SPSS and its applications, and are familiar with basic statistical terms and concepts such as mean, median, variance, standard deviation, and correlation. To develop knowledge of statistics, students can access the Graduate Researchers Statistical Assistance Scheme or complete one of the courses offered by Statistical Consulting Centre, for example the Statistics for Research Workers course.
If you are already familiar with SPSS, please check the learning outcomes outlined below before you enrol.
On completion of the shortcourse participants will be able to perform the following:
- Navigate SPSS
- Create an SPSS data set
- Import data from other applications, for example Excel
- Compute and recode variables
- Manipulate data sets: merge data sets, select observations, split data
- Explore data: missing values, variable distributions, outliers
- Summarize variables: calculate frequencies and descriptive statistics
- Explore relationships between variables
- Illustrate results using graphs
- Edit SPSS output
- Set up preferences for an SPSS session
- Use SPSS on-line Help
- Use the SPSS command syntax at a basic level
Where is it?
eLearning studio 1, Percy Baxter Learning Centre, Baillieu Library, The University of Melbourne.
When is it?
Four sessions (5pm–8pm): Tuesday 15, Thursday 17, Friday 18, Tuesday 22 November.
The waiting list
There is a waiting list so if you can't secure your place, sign up to the waiting list and we will contact you if we can fit you in to this shortcourse.
Who is the presenter?
Ewa Karafilowska who was employed at the University of Melbourne for over 20 years as a statistical software consultant. During that time she facilitated numerous introductory/advanced SPSS and SAS workshops/courses. She holds a Master of Applied Mathematics.
When & Where
Graduate Student Association
The Graduate Student Association (GSA) is an independent student representative body for graduate students at the University of Melbourne. We provide representation, study support and social events. GSA also represents graduate students at academic hearings, runs campaigns on student issues at a state and federal government level, and is present on over 25 University committees.