Description

Psychological research often requires statistical analysis. This is typically performed in SPSS. SPSS's primary disadvantage is its closedness. This has multiple important implications: it is intransparent, nonreproducible, and only a few statistical methods are available. 

R is open and consequently an improvement over SPSS in almost all aspects. It is transparent; that is, everybody can confirm the correctness of Rs computations. It is easy to create and share reproducible analyses. It is constantly extended by the scientific community, which leads to a vast library of available statistical methods. 

Programme

In this course, you will learn how to use R for your own (psychological) statistical analysis and how to share your analysis with your colleagues and the community.

1. First, we will show you how to use built-in functions from the R-library and how to install external libraries.
2. Second, you will learn how to preprocess your data and how to create visualizations.
3. Third, we will cover how to create reproducible reports in R.
4. Fourth, you will learn how to perform statistical data analysis, as you are used to from SPSS.  

As the final project, you will (re)implement a statistical analysis from one of your papers using R.

Course objectives

• Perform basic statistical analyses with R.
• Create a reproducible report with R-Markdown.
• Programme your own functions in R.
• Tidy datasets and create data visualizations in R.

Entry requirements

• Basic knowledge about standard statistical methods like ANOVA, t-test, etc.

Mode of instruction

• Lectures (theory and illustrative examples in R).
• ractical sessions with exercises in R (students work on the exercises and solutions are discussed at the end).
• Students should bring their own laptop with R and Rstudio installed.

Fees

Target group	One day	Two days	Three days
PhD candidates FSW	FREE	FREE	FREE
Staff FSW	€300	€400	€500
Other Leiden University PhD candidates	€215	€315	€415
Externals	€450	€600	€750