R210: Exploring Chi-Square and correlation in R

Authors: Charlotte François, Dr Jerry Lai and Dr Anastasios Papaioannou
Course Duration: Half Day

This course focuses on the realm of inferential statistics, beginning with correlation and reliability using R.

About this course

This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will traverse into the realm of inferential statistics, beginning with correlation and reliability. We will present a brief conceptual overview and the R procedures for computing reliability and correlation (Pearson’s r, Spearman’s Rho and Kendall’s tau) in real world datasets.

Learning Outcomes

  • Obtain inferential statistics and assess data normality
  • Manipulate data and create graphs
  • Perform Chi-Square tests (Goodness of Fit test and Test of Independence)
  • Perform correlations on continuous and categorical data (Pearson’s r, Spearman’s Rho and Kendall’s tau)


This course assumes familiarity with R and RStudio. You should have a good understanding of R syntax and basic programming concepts, as well as familiarity with data manipulation (dplyr) and visualisation (ggplot2 package). Please consider attending Intersect’s following courses to get up to speed:

Target Audience and Expectation

This Introductory training is designed for researchers and students who have had little to no formal training in statistics. The session focuses on the practical implementation; basic conceptual understanding and interpretation of the relevant methods and their corresponding outputs, with little emphasis on theory.


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Introductory Slides

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For enquiries, please contact us at enquiries@intersect.org.au or visit help.intersect.org.au

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