Independent samples t-test, Levene’s test, effect size, and normality in RStudio / R

In this video, I have discussed how to run t test in RStudio. In addition, I have shown how to check the assumptions of t test, i.e., Levene’s test of equality of variances, effect size (Cohen's d & Hedge's g), and univariate normality (skewness and kurtosis).

The following link provide you with more information about interpreting the output and getting access to the RStudio code used in this demonstration.

The R Code used can be downloaded from:
https://github.com/AriaAvi/Multivaria...

Relevant book chapters
https://www.routledge.com/Quantitativ...

t test and Cohen's d
Video 1:    • Independent-samples T-tests 2: Effect...  
Video 2:    • Paired-Sample t-test 2: Effect size  
Video 3:    • Independent Samples t-test in Excel |...  

Normality videos:
Video 1:    • Mean, mode, median, and normality  
Video 2:    • Checking normality using skewness, ku...  
Video 3:    • Normality, Skewness, Kurtosis, & Shap...  
Video 4:    • Normality check, skewness, and kurtos...  

Note:
The dataset used in this video is from the CORE2016 project of the National Institute of Education of Nanyang Technological University, Singapore. The Principal Investigator of the project is Dr Melvin Chan (https://dr.ntu.edu.sg/cris/rp/rp01469 ).


#rstudio
#psych
#rstatix
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#statistics