1 The Jamovi tutorials
This online tutorial is designed to help you become familiar with the statistical software package Jamovi and learn the basics of quantitative data analysis. To complete the course, you should work through the activities in the order presented.
Each activity includes demonstrations, explanations, and opportunities for you to practise using Jamovi yourself. Some activities may include short questions or prompts to encourage you to reflect on what you have learned, while others will guide you through key features and statistical procedures within the software.
Most tutorials in this course are provided as video demonstrations. You can engage with the videos in whichever way best supports your learning. For example, you may wish to:
- watch the video and follow along in Jamovi at the same time; or
- watch the video first and then reproduce the steps independently afterwards using Jamovi.
Where data files are needed, these will be provided within the activity so that you can practise the analyses demonstrated in the videos.
All course materials are accessed online, but you are encouraged to download and install Jamovi so that you can practise the techniques demonstrated throughout the course. Jamovi is a free, open-source software and is available across multiple operating systems and devices.
The activities are designed to help you become familiar with the software and develop confidence carrying out basic statistical analyses using Jamovi. Each activity should take approximately 20 minutes to complete, and are summarised below:
| Activity 1: Getting started with Jamovi | This activity is recommended if you have little or no experience using Jamovi or statistical software. It introduces the Jamovi interface and explains how to open and navigate the programme. |
| Activity 2: Exploring the Jamovi menus | This activity provides an overview of the main menu options and analysis tools available in Jamovi. It is designed to help you feel more comfortable and confident using the software. |
| Activity 3: Adding variables in Jamovi | In most statistical analyses, you will first need to enter, import, or manage data within the software. This activity introduces variables, data entry, and basic data management in Jamovi. |
| Activity 4: Obtaining descriptive statistics | One of the first steps in data analysis is understanding what your data looks like and being able to summarise it clearly. This activity shows you how to produce and interpret basic descriptive statistics in Jamovi. |
| Activity 5: Correlation | Correlation is one of the simpler and most commonly used statistical techniques. In this activity, you will learn how to carry out and interpret a correlation analysis in Jamovi. |
| Activity 6: Scatterplots | Scatterplots are a simple and useful way of visually exploring the relationship between two variables. In this activity, you will learn how to produce and interpret a scatterplot in Jamovi. |
| Activity 7: Independent samples t-tests | This activity introduces the independent samples t-test. This test is used when comparing two separate groups of participants, for example when examining differences between an experimental group and a control group. |
| Activity 8: Repeated measures t-tests | This activity introduces the repeated measures t-tests. This test is used to compare scores from the same group of participants in two different conditions. For example, the same people might complete a task before and after an intervention, or under two different sets of conditions. It can also be used when participants are matched in pairs, such as in studies involving twins or matched samples. |