dr. D.A. (Dörte) de Kok

Token Test

The Token Test app is an implementation of the shortened Token Test for aphasia and language impairment detection devised by De Renzi and Faglioni (De Renzi, E., & Faglioni, P., Normative data and screening power of a shortened version of the Token Test. Cortex, 1978, 14, pp 41-49).

The current version 2 is an upgrade of the previous tablet application (Bastiaanse, R. Raaijmakers, S. & Satoer, D., 2015).

General reference:

Bastiaanse, R., Akinina, Yu., Satoer, D., de Kok, D. (2020). The Token Test App, Second Edition. Groningen (NL): The University of Groningen.

For a reference to a specific language version or other questions, please contact tokentest rug.nl.

You can also check the privacy statement of the App version.

Currently, the Android version is not available due to technical issues. As soon as it is available again, you will find more information here.

The iOS (iPad only) version is available in the Apple AppStore: https://apps.apple.com/(...)en-test/id1519395927.

In case the of technical issues or other questions, please contact the support at tokentest rug.nl.

WAT/ZAT

More information will be provided soon.

Discuit

Discuit is a Dynamic item set clustering UI tool.

Discuit is a python package that can split datasets (e.g. words defined by several variables) into subsets that are as comparable as possible.

The package takes a csv file as input and generates a defined number of matched sets for a given number of continuous and categorical variables. One of the categorical variables can be selected to be split absolutely even across sets. Discuit generates the following output:

• csv file ammended with the set membership for each item
• txt file that reports on the outcomes of statistics tests

More information:

De Kok, Dörte. (2023). Discuit. Zenodo. https://doi.org/10.5281/zenodo.7671856

You can also check the github repository or the PyPI page on the project:
https://github.com/doerte/discuit-project
https://pypi.org/project/discuit/

Go to https://discuit.streamlit.app/ to check the tool with an integrated user interface.

Preposition screening

Development of a screening tool for prepositions. This screening is being developed with multiple in-class and thesis projects by students in the MA Neurolinguistics. The first version (and accompanying presentations) can be found on OSF.

Supervised PhD-projects

• Pauline Cuperus (2019 - 2023)
• Jonathan Gerona (2021- 2025)
• Judith Feiken (external PhD, 2022 - )
• Abena Owusu Antwi (2023 - )