Data Entry and Processing in SPSS at USYD Online

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This introductory course helps you learn how to use SPSS to import and manipulate data, and visualise results.

About this Event

This training program is supported by the Deputy Vice Chancellor (Research) of the University of Sydney. Placements will be prioritised for researchers and research students at the University of Sydney. Registrants who are not researchers or research students at the University of Sydney may be moved to the waitlist. Thank you for your understanding. Please keep an eye on the Intersect website for upcoming courses at your home institution.

This course has two sessions:

  • 9:30 am - 12:45 pm on 25 Feb
  • 9:30 am - 12:45 pm on 26 Feb

An optional technical support on setting up Zoom or SPSS will start at 9 am on 25 Feb.

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

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.

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