Over the past decade, the R environment for statistical computing has firmly established itself as the standard for data processing in psychology and many social sciences. It provides a multitude of data handling and analysis capabilities, and is now routinely taught to students early on. Despite the widespread familiarity of researchers with R, building experiments has heretofore often required picking up an entirely new programming language and skillset. We present a versatile, high-performance package for constructing and running experiments in R, and demonstrate its timing capabilities. The package builds upon the powerful functionality present in the R ecosystem, allowing for direct integration of data collection and processing, and more advanced designs such as adaptive experiments. With it, researchers at every career stage can now apply their knowledge of R to the construction of experiments.
Participant requirements: Basic knowledge of R, Laptop with R/RStudio installed.

Instructor: Felix Henninger, Ludwig Maximilian University of Munich  

This workshop is aimed at researchers who are relatively new to preregistration or who have unanswered questions during preregistering their studies and would like to clarify these uncertainties.
The workshop will be divided into two parts:

• The first part will give a general introduction to preregistration and will illustrate why it is important that researchers preregister their studies, which will be supported by the latest findings from our own research.

• In the second part, participants will be guided through the preregistration process and will create their own preregistrations using the PRP-QUANT template (https://doi.org/10.23668/psycharchives.4584). For this purpose, the template will first be presented in more detail. Participants will then have time to work on their own preregistrations. Afterward, participants will work in teams of two to receive peer feedback on their preregistrations.

The workshop will conclude with a demonstration of the ZPID’s preregistration platform PreReg (https://prereg-psych.org/) where preregistrations can be published to complete the preregistration process.
Lastly, we will discuss all further questions and open issues so that at the end of the workshop, participants will be empowered to complete their preregistrations on their own based on the input of the workshop and their peer’s feedback.
Participant requirements: No prior knowledge is necessary. Since the participants will work on their own preregistrations in the workshop, everyone is encouraged to think about a specific project idea or research question beforehand (e.g., a project they are currently working on) that they would like to implement in their preregistration. Participants need to bring a laptop.

This workshop aims to 1) introduce the diverse tasks of research data management (RDM) along the research process, 2) demonstrate their benefits and 3) provide a blueprint for integrating these tasks into one's own daily research routine. Besides a general introduction to RDM and Open Science, all relevant aspects for the creation of a data management plan or similar documents, an introduction to best practices of data documentation as well as available archiving infrastructures will be covered. The overall aim is to share best practices for quality-assured RDM in psychology.
Participant requirements: participants should bring a laptop.

Instructor: Katharina Blask, Leibniz Institute for Psychology (ZPID)