The main goal of this course is to provide a gentle introduction to applied data analysis methods.
Starting from basic intuitions, we will learn about the reasoning behind traditional statistical tests (such as t-tests and anovas), gradually building up towards more cutting-edge approaches (such as mixed modelling).
The course has no prerequisites but will benefit from some familiarity with rudiments in statistics.
The course will also be hands on: in addition to the theory behind the different analyses, and when to apply them, we will learn how to actually run the analyses ourselves, using R. R is a very popular, powerful (and free) statistical analysis software. We will focus on how to efficiently manipulate data, and how to "see" the data with high-quality graphs, before conducting analyses of interest, and interpreting/reporting the results. So please bring your laptop to class, and try to install R and RStudio beforehand (available here).
Because the course emphasizes practical and group work, attending class is strongly recommended.
Ultimately, the course aims to provide theoretical and applied knowledge useful for any career path involving data analysis, particularly in psychology and human sciences.
- Docente: GABRIELE SAM CHIERCHIA