Welcome to Stats Made Easy using Jamovi

'The numbers have no way of speaking for themselves. We speak for them. We imbue them with meaning'

Nate Silver, The Signal and the Noise

This webpage aims to teach you the basic statistical concepts and quantitative data analysis tools that will allow you to make sense of large quantitative datasets.

We have simplified the learning material wherever possible, and you will not be required to learn any maths or work through complicated equations. After all, the computer does these calculations for you. Understanding the basic concepts and what all the different tests do, is really important.

This website will use a software called Jamovi to teach you data analysis skills. This is a relatively simple and easy program to use. It is also open-source, so you can download it for free here. In the future, we hope to add learning materials for Python and R.

This website provides learning materials and guides and will link to other openly available resources where necessary.

Course Outline

The Basics

(University of Lincoln Courses: Applying Research, Researching in Social and Political Sciences, Researching in Social and Political Sciences for Criminology 1 & 2)

  • Tutorial 1: Understand your data

  • Tutorial 2: Descriptive Statistics

  • Tutorial 3: Basic Correlations and Hypothesis Testing


Inferential Statistics

(University of Lincoln Courses: Researching in Social and Political Sciences, Researching in Social and Political Sciences for Criminology 1 & 2)

  • Tutorial 4: Testing for Difference

  • Tutorial 5: Reducing your data

  • Tutorial 6: Linear Regression

  • Tutorial 7: Logistic Regression

  • Tutorial 8: Multi-level Analysis (TBC)


Each tutorial will introduce you to the relevant key concepts and ideas using videos and step-by-step guides. There will be links to supplementary reading and other relevant learning materials.

Each tutorials sub-pages will provide you with step-by-step instructions on how to set up and/or run a test in Jamovi. These guides will be supplemented by videos. Where possible we will use examples and provide a sample hypothesis.

Suggested Readings

  1. Easy: Rowntree, Derek (2018) Statistic without Tears. Penguin Books: London

  2. Easy: Davis, Cole (2019) Statistical Testing with Jamovi and JASP Open Source Software. Vor Press Norwich.

  3. Moderate: Frost, Jim (2019) Hypothesis testing: An intuitive guide for making data-driven decisions. StatsbyJim

  4. Moderate: Frost, Jim (2019) Regression Analysis: An intuitive guide for using and interpreting Linear Models. StatsbyJim

  5. Moderate: Navarro, D & Foxcroft, D (2019) Learning Statistics with Jamovi: A tutorial for psychology students and other beginners. Online: Version 0.7

Useful Dataset

Questions?

If you have any questions about the materials please email Joshua Skoczylis and we will add additional information either to the material or add a blog post on the topic.