An Introduction to SPSS: 14th & 15th December 09.30-13.30. ONLINE

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An Introduction to SPSS

Statistical Package for the Social Sciences (SPSS)

IBM® SPSS® Statistics is a powerful statistical software platform. It offers a user-friendly interface and a robust set of features that lets you organise quickly extract actionable insights from your data. Advanced statistical procedures help ensure high accuracy and quality decision making. All facets of the analytics lifecycle are included, from data preparation and management to analysis and reporting.

Course Presenter: Dr Seán Lacey, BSc, PhD, MBA, Research Integrity & Compliance Officer, MTU.
Registration closes 5pm on 23th December 2023.


1. Introduction to Data Analysis in SPSS, Thursday, 14 December, from 09:30 – 13:30
2. Statistical Inference with SPSS, Friday, 15 December, from 09:30 – 13:30.
Learning Outcomes (LOs):

On successful completion of this training, the learner will be able to:

1.      Use statistics to reduce complex data situations to manageable formats in order to describe, explain or model them,

2.      Derive descriptive statistics for various data types,

3.      Perform and critique statistical tests on two sample data,

4.      Communicate effectively research findings in a clear concise manner using correct terminology.

14 December, from 09:30 – 13:30: Introduction to Data Analysis in SPSS – 4 hours

This part of the training introduces SPSS and addresses LO1, LO2, and LO4 by covering:

  • A basic introduction to statistics.  It is important before using SPSS that some basic statistical terminology is understood (terminology will be kept to a minimum),
  • Demonstration on how to organise data, import data, export results, etc.,
  • Conclude with compiling descriptive statistics (both numerical and graphical) for various data types.
 15 December, from 09:30 – 13:30 – Statistical Inference with SPSS – 4 hours

This part of the training introduces the world of hypothesis testing and addresses on LO3 and LO4 by covering:

  • Introduction to the terminology of one- and two-sample hypothesis testing (theory kept to a minimum),
  • Worked examples of testing for normality/differences/relationships with various types of data,
  • How to report statistical results in a concise manner.

Registration & Fees
There is a non-refundable registration fee of €10 for members & non-members. The course itself is free of charge.
Members: | Members Area | Login | Events | select and book

Registration closes at 5pm, Wednesday 23 December 2023.

Non-Members: | Members Area | Events | Follow instructions in “Want to book?” to create a non-member account. Then, select the course and book. Click here for non-member account setup

Numbers are limited and the course is open to both members and non-members.

There should be a base level understanding of statistics in order to optimise this 8-hour course. The “Introduction to Data Analysis” presented previously by Dr Lacey would be a minimum level and it can be viewed on the academy website or clicking on the link:, with slides available on

Certificate of attendance will be issued to those who attend both days 

Start Date - End Date

Dec 14, 2023 - Dec 15, 2023

Start Time - End Time

9:30 am - 1:30 pm



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