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.
- 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.