Promo codes
To celebrate the launch of this new service, for a limited time Intersect is offering discounts to all registrants! Choose the applicable code from below to receive up to save up to 50% off the regular price of $320!
- Use code EARLYINTRO-HDR and pay only $320
- Use code EARLYINTRO and pay only $420
- Use code INTRO-HDR and pay only $480
All prices listed are excluding GST.
Need to pay by invoice? You can now generate your own invoice directly in Eventbrite - just select "Pay by Invoice" during checkout.
Discount codes (except INTRO-HDR) are available for registrations completed 2 weeks prior to the scheduled course date. To be eligible for HDR discounts, you must register using your institution issued student email address.
Information about this course
This hands-on training is designed to familiarize you with the interface and basic data processing functionalities in SPSS. We will examine several “must know” syntax commands that can help streamline data entry and processing. In addition, we will explore how to obtain descriptive statistics in SPSS and perform visualization.
This workshop is recommended for researchers and postgraduate students who are new to SPSS or Statistics; or those simply looking for a refresher course before taking a deep dive into using SPSS, either to apply it to their research or to add it to their arsenal of eResearch skills.
You’ll learn:
- Navigate the SPSS working environment
- Prepare data files and define variables
- Enter data in SPSS and Import data from Excel
- Perform data screening
- Compose SPSS Syntax for data processing
- Obtain descriptive statistics, create graphs & assess normality
- Manipulate and transform variables
Prerequisites
Please note: You must have access to SPSS to complete this training course.
No prior experience with SPSS needed to attend this course. For more information about this course, please visit the course page on our website.
The Intersect approach to training
At Intersect, we deliver hands-on courses that targets the day-to-day software and technology problems that researchers face.
For more information about this course and others, see our course catalogue, or visit Learn.intersect.org.au
For more information about how we allocate tickers and address no-shows, see our training policy.
