Introduction to jamovi

🎧 Online students

Throughout the computer lab question sheets, you will see emojis and/or collapsible sections like this one. Each emoji has a particular meaning and will sometimes be associated with additional instructions:

Prompts for you

💬 Write your answer in the chat.

Modes at different times during the lab

🏡 Main room. All together in the main room – your computer lab demonstrator will be presenting information or facilitating class discussion

💡 Breakout rooms. Person with birthday closest to (your computer lab demonstrator will pick a random date) shares their screen or whiteboard. Here you will discuss a question together and bring your group’s answer back to the main room.

💻 Focus mode. You will still be in the main room, but working independently. All students will be sharing screen during this time so that your computer lab demonstrator (but not other students) can see your screen.


🏫 Face-to-face (blended) students

Throughout the computer lab question sheets, you will see emojis and/or collapsible sections like this one. You can ignore the emojis and collapsible sections, as they contain information relevant to students who are studying online.


In our first Computer Lab, we will learn how to get started with jamovi (The jamovi project 2022).

From time to time, we will be referring to the free book learning statistics with jamovi (Navarro and Foxcroft 2022).

If you have time at the end of today’s lab, you may like to work on Quiz 1.

Why jamovi?

One question you may be have is, Why jamovi? There are many statistical software programs available, each of which have their pros and cons. Some of jamovi’s advantages include:

  • It is free and open-source, meaning you can install it on your computer for free and use it anywhere. Also, this means you can take the skills you learn in this subject anywhere in the future, as you will always be able to access jamovi for free
  • It is user-friendly and intuitive to use. With just a few clicks, you can carry out highly complex statistical analyses and produce professionally formatted results
  • We make use of the computing power available to us, meaning the use of mathematical formulae and doing statistics by hand with pen and paper are minimal in this subject
  • It is much more powerful, and can carry out more sophisticated analyses, than spreadsheets. And once you have carried out your analysis, it is reproducible - no need to repeat point-and-click work over and over again
  • It uses arguably the best statistical programming language, R, in the background. It also has an option to automatically generate R code for you as you go, as well as an option to write R code within the jamovi interface (we will have an opportunity to do this later in the semester). For those of you who go on to do more stats and/or data analysis in the future, familiarity with R will be very useful.

With that, let’s get started.

1 Installing jamovi

💻 If you have not already installed jamovi on your own computer, the video below will help you get started. If you are working in a computer lab on campus, the computer should already have jamovi installed - just go to the start menu and open it up.

Some useful links:

2 The jamovi interface

💻 Once you open jamovi, you will see the user-friendly jamovi interface. To become familiar with the interface and its features, watch the following video:

3 Loading data files into jamovi

💻

3.1

On the LMS, you will find a file called survey.csv, which contains the responses of 237 Statistics students to a set of questions (Venables and Ripley 1999). This data set is from a package called MASS, which is part of the freely available software package R (R Core Team 2021).

Download the file called survey.csv from the LMS, and save it in a relevant location on your computer.

3.2

Import the survey.csv file in jamovi. The video below demonstrates how to import a data file.

To learn more about importing data into jamovi, including what to check for when importing data, some useful references are Loading data in jamovi and Importing unusual data files (Navarro and Foxcroft 2022).

4 Analyses, copy-paste results, and saving files

💻 In jamovi, carry out the following using the survey data set (the video below will demonstrate how to do this).

  1. Produce descriptive statistics for the Height variable
  2. Produce a histogram of the Height variable
  3. Copy and paste the results of your analysis (the descriptive statistics and the histogram) into another document, such as a Word document
  4. Save your work in jamovi so far as a jamovi (.omv) file
🎧 Online students 💬 Once you have created the descriptive statistics table in Part (1) above, enter the mean and standard deviation of the Height variable into the chat.

5 Rounding results

💻 In jamovi, it is simple to round results to a desired number of decimal places. After watching the video below, round the results shown in your descriptives statistics table to three decimal places.

🎧 Online students 💬 Once you have rounded the results shown in your descriptive statistics table, take a snippet / screenshot of your table and copy-paste it into the chat.

6 Working with spreadsheets and variables

💻 Working with the variable in the survey data set called A, carry out the following steps:

  1. Add a description of the variable
  2. Change the name of the variable to ID
  3. Change the Measure type to ID
  4. Make sure to save your work (e.g. your jamovi and Word files) somewhere safe (e.g. OneDrive) so that you can access it at a later time

When adding columns to a data set in jamovi, it is possible to add computed variables. If you would like to learn more about this, a good reference is here (Navarro and Foxcroft 2022).

That’s everything for today! If you still have time, you may like to have a go at Quiz 1, which is based on the Topic 1 readings.

Before you finish up, remember to save your work (e.g. your jamovi and Word files) somewhere safe (e.g. OneDrive) so that you can access it at a later time.


References

Navarro, D. J., and D. R. Foxcroft. 2022. “Learning Statistics with Jamovi: A Tutorial for Psychology Students and Other Beginners.” 2022. https://www.learnstatswithjamovi.com/.
R Core Team. 2021. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
The jamovi project. 2022. Jamovi [Computer Software]. https://www.jamovi.org.
Venables, W. N., and B. D. Ripley. 1999. Modern Applied Statistics with s-PLUS. 3rd ed. New York: Springer.


These notes have been prepared by Amanda Shaker. The copyright for the material in these notes resides with the authors named above, with the Department of Mathematical and Physical Sciences and with La Trobe University. Copyright in this work is vested in La Trobe University including all La Trobe University branding and naming. Unless otherwise stated, material within this work is licensed under a Creative Commons Attribution-Non Commercial-Non Derivatives License BY-NC-ND.