Master-class August 2019: Surviving SPSS

A 2-day, hands-on, course is designed for people who have little, or no, experience with SPSS, presented by Assoc Prof Julie Pallant, author of the SPSS Survival Manual: A step by step guide to data analysis using SPSS

Held in ACSPRI's Melbourne office.



Monday, August 5, 2019 - Tuesday, August 6, 2019
Early bird cutoff date: 
Monday, July 22, 2019
Course details:

This course is presented by Assoc Prof Julie Pallant, author of the SPSS Survival Manual: A step by step guide to data analysis using SPSS. This book, published by Allen & Unwin, was written to provide students and researchers with an easy to follow guide to the whole research process, from designing a study to analysing and reporting the results.


Master Class - runs over 2 days
Course dates: Monday 5 August 2019 - Tuesday 6 August 2019
Course status: Course completed (no new applicants)
Week 1
About this course: 

This 2-day, hands-on, course is designed for people who have little, or no, experience with SPSS. It provides a gentle introduction to statistical analyses using SPSS, particularly suited for those involved in research in the social and health sciences, education and business. It does not assume any prior experience with SPSS or statistical training. You will be provided with datafiles to practice on. Given the short 2-day structure, there will not be any time set aside for analysing your own data.


On Day 1 you are taken on a guided tour of SPSS and will learn how to set up a data file, code data and to use descriptive statistics and graphs to explore the data. You will be shown how to manipulate your data ready for statistical analyses (sorting, recoding variables, computing total scores, selecting cases, splitting the file).


On the second day you will be shown how to use SPSS to perform a number of basic statistical analyses including techniques to compare groups (t-tests, analysis of variance), techniques to explore relationships (correlation). A number of non-parametric techniques will also be covered (chi-square, Mann Whitney U, Wilcoxon Signed Rank test).

Course syllabus: 

Day 1: Getting Started with SPSS

  • Tour of SPSS Windows, menus, and dialogue boxes
  • open, save and close SPSS data and output files
  • prepare a data entry codebook
  • create a SPSS data file
  • enter data into an SPSS data file
  • check a data file for errors
  • correct errors in the data file
  • obtain descriptive statistics
  • create a variety of graphs (histograms, bar graphs)
  • manipulating the data to form new variables (computing totals, collapsing categories)
  • sorting the data file
  • splitting the datafile, selecting specific cases for analyses



Day 2: Using SPSS for Statistical Analysis

  • choose appropriate statistical techniques to address specific research questions
  • perform a variety of statistical procedures and interpret the output (including preliminary assumption testing where appropriate)
  • Depending on the needs of participants, statistical techniques will include:
  • chi-square
  • correlation
  • paired samples t-test, independent groups t-test,
  • one-way between groups ANOVA, one-way repeated measures ANOVA,
  • two-way ANOVA
  • non-parametric techniques (Mann Whitney U, Wilcoxon Signed Rank test, Friedman test)


Course format: 

This two day master-class will be held in the ACSPRI Office in Melbourne with participants bringing and using their own laptops preloaded with SPSS.


If you don't have a copy of SPSS, you can download a free trial version before the course starts.

Please note the trial version only lasts 14 days, so please don't initiate the software until just before, or at the course.

Recommended Background: 

This course does not assume any prior experience with SPSS or statistical training.

Recommended Texts: 

Participants will be provided with a copy of Julie’s book:


  • Pallant JF (2016) SPSS Survival Manual: a step by step guide to data analysis using SPSS for Windows (6th  edition). Allen & Unwin, Crows Nest, Sydney.


Course fees
Non Member: 
Full time student Member: 

The ACSPRI Head Office is located at 763 Heidelberg Road, Alphington, just before the corner of Yarralea St.



The ACSPRI Office is only 20 minutes from the Melbourne's CBD via train. Accommodation located close to any of the City Loop train stations (Parliament, Melbourne Central, Spencer St, Flinders St and {on weekdays} Flagstaff) or other stations along the Hurstbridge Line will enable a very easy commute (see Transport below). We expect most visitors would appreciate staying quite centrally and there are numerous accommodation options. It is worth checking a travel website (expedia, tripadvisor, etc) to fine the best option for your budget and requirements, but we recommend staying close to a train station as per above.


Ivanhoe Quest Apartments are located 20 minutes walk east of the ACSPRI Office, along Upper Heidelberg Road.  You can also catch the train to Alphington Station from either Ivanhoe Station (2 stops - city direction) or Darebin Station (1 stop - city direction). You can also walk to Heidelberg Road (4 mins) take the 546 Bus to Yarralea Street, which is opposite our office.



Car Parking / Transport: 

Alphington Station is roughly 20 minutes from Melbourne Central (and other City loop stations) on the Hurstbridge Line and only a few minutes' walk from the ACSPRI office. There are also a number of bus lines that service the area. Bus services are very limited on weekends and the train is recommended. Click here for the journey planner.


By car, the quickest route for many local Melbournians will be via the Eastern Freeway and/or Chandler Hwy. From the CBD the Eastern Freeway from the Inner North will also probably be the quickest route. At that time on a weekend 20 minutes would allow plenty of time. Parking is usually available in Yarralea St or nearby but not on Heidelberg Road. 


Secure space is available to store bicycles at the office. The office is very close to Alphington Park, which backs onto the Yarra River and subsequently a vast network of Melbourne's bike paths.



Venue and Timetable: 

The course will run from 9.30am until 4.30pm each day (unless otherwise notified).

Breaks are usually held at 11:00 - 11:15, 12:45 - 1.15 and 2:45 - 3:00. Lunch and a small morning and afternoon tea are provided each day.