From April 2022 to January 2024, I was involved in the D3I project by Laura Boeschoten and Theo Araujo. This project focuses on creating a framework for researchers to collect data packages with digital trace data. These are data that people leave behind by using digital services, such as Facebook, Youtube or WhatsApp. The companies providing these services are obliged provide data that they collect to the people the data concern. The intended framework should enable researchers to let participants to donate their digital data packages in an ethical and anonymous way.
In this project, I was involved with setting up pilot studies, managing and investigating obtained data, and studying methodological challenges related to data donation. Currently, I am working on three different papers related to this project.
From September 2021 till May 2022, I worked on my Master Thesis as part of an internship at the psychometric brance of Cito in Arnhem, the Netherlands. The project is called 'Using Process Data in the Explanation and Detection of Differential Item Functioning.
The project investigated how process data could be used to deal with Differential Item Functioning (DIF), and does so by the use of the TIMSS-data. Process data are data that are collected during the assessment of a test item, but that are not the response itself, for example 'response times'. DIF, on the other hand, is a property of test items. Test items are subjective to DIF when groups with equal levels on the latent trait (what the test item measures) have different response probabilities. The goal of linking these two topics is to find a use for process data and make fairer comparisons of groups possible by finding an additional way to deal with DIF.
The project was supervised by Remco Feskens and Dylan Molenaar. Additional information on this project can be found on my Github page.
Please find my CV here.