Notes 

Here is a list of books and tutorials that I find useful. 

Statistics

1. An Introduction to Statistical Methods and Data Analysis, Ott, R. and Longnecker. M. Cengage Learning. 2016

2. An Introduction to Categorical Data Analysis, Agresti, A. Wiley. 2019

3. An Introduction to Statistical Learning, James, G., Witten, D., Hastie, T., Tibshirani, R., et al. Springer, 2017

R

1. An Introduction to R, Douglas, A., Roos, D., Mancini, F., Couto, A., and Lusseau, D. 2024

2. R for Data Science, Wickham, H., Cetinkaya-Rundel, M., and Grolemund, G. O'Reilly Media. 2023

3. Text Mining with R: A Tidy Approach, Silge, J. and Robinson, D. O'Reilly Media. 2017

4. Applied Survival Analysis using R, Moore, D. F. Springer. 2016

Psychology

1. Handbook of Consumer Psychology, Haugtvedt, C. P., Herr, P. M., and Kardes, F. R. Routledge. 2018