SPSS Core Skills

This workshop will teach participants how to successfully set-up SPSS data files and also run some basic analyses.

SPSS is designed to assist researchers in the analysis of quantitative data, and is one of the most user-friendly and popular packages on the market today. This workshop will teach participants how to successfully set-up SPSS data files and also run some basic analyses. Please note that no statistical knowledge is required for this workshop; however the focus of the session will be on the SPSS software rather than statistical theory.

Key content

  • Creating a new data set and entering data into SPSS
  • Importing data from sources such as Microsoft Excel
  • Defining variable properties, including value labels and missing value codes
  • Performing data transformations e.g. compute and recode variables
  • Calculating descriptive statistics and other statistical procedures
  • Brief introduction to charts and graphs
  • File manipulation
  • SPSS tips and tricks
  • Introduction to SPSS syntax

Objective

This course will introduce participants to the core functions of the SPSS software.

Suitable for

New and existing users. Researchers who need to analyse statistical data, and require a user-friendly statistical package to facilitate this.

Notes

Please note that this workshop is specifically for PC users only and SPSS 23 is used. This course focuses on the SPSS software, not statistical theory. Introductory statistics courses are offered in New Zealand by Academic Consulting. To view their current training schedule, visit http://www.academic-consulting.co.nz/training/schedule.

Cost

Free for University of Auckland and UniServices staff
Free for University of Auckland postgraduate students
$250+GST for others

Dates, times and venues for 2017

January - March 2017

Thursday 16 February 2017, 9.30am-4pm
Room 305, Level 3, Building 620, 49 Symonds Street, City Campus

April - June 2017

There are currently no scheduled workshops for this period.

July - September 2017

Monday 3 July 2017, 9.30am-4pm
Room 305, Level 3, Building 620, 49 Symonds Street, City Campus