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:
github.com/AriaAvi/Multivaria...
Relevant book chapters
www.routledge.com/Quantitativ...
t test and Cohen's d
Video 1: • Independent-samples T-...
Video 2: • Paired-Sample t-test 2...
Video 3: • Independent Samples t-...
Normality videos:
Video 1: • Mean, mode, median, an...
Video 2: • Checking normality usi...
Video 3: • Normality, Skewness, K...
Video 4: • Normality check, skewn...
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 (dr.ntu.edu.sg/cris/rp/rp01469 ).
#rstudio
#psych
#rstatix
#ggpubr
#statistics

[@robertsemel3607]

This video was very helpful for learning how to do a t-test in R with gender as the independent variable. After spending so many hours on the web trying to find a presentation that worked, I found this video. Thanks very much.

[@clesiohenriquepedro7942]

Indeed
Only * is that I can't get the dataset and yes I've tried to acess thru the link nonetheless unsuccessfully

[@ne_dobrovolno]

object 'SEM' not found