Exploring Chi-Square & Correlation in R

Course description

This course focuses on the realm of inferential statistics, beginning with correlation and reliability using R. SEE AVAILABLE DATES AND ENROL BELOW

This hands-on training is designed to familiarise you with the data analysis environment of the R programming. In this session, we will look 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)

Please register for your preferred session via the links below.

Thursday 7 May 9am-12pm
JOIN WAITLIST VIA EVENTBRITE

Tuesday 27 October 9am-12pm
REGISTER VIA EVENTBRITE

Prerequisites:
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:

• Learn to Program: R
• Data Manipulation in R
• Data Visualisation in R

Training will be conducted via Zoom. A Zoom link will be shared with registrants a week before training date. 

About your Trainer:
Dr Ankit Beniwal is Intersect’s Digital Research Analyst (DRA) for Flinders University in 2026. He holds a PhD in Physics from the University of Adelaide and has held multiple post-doctoral positions in Europe. His technical expertise includes Python and R, complemented further by proficiency in qualitative research tools like Qualtrics, NVivo, REDCap, etc.

Type of course

Workshop