Child’s play: A computational method for generating child-specific valence norms
. In Study 2, we used estimates and human ratings to predict valence effects in a lexical decision task. Again, we found that norms derived from vector space models and label lists for adults outperformed other combinations and approximated the functional form of children's and adults' valence effects best. We discuss the practical implications of these findings. Additionally, a new set of valence ratings from children (mean age = 12.5 years) for 535 German words is made available.
Authors
- Sascha Schroeder (ORCID: https://orcid.org/0000-0001-7001-4588)
- Astrid Haase (ORCID: https://orcid.org/0000-0003-2434-5858)
- Katharina G. Hugentobler (ORCID: https://orcid.org/0000-0002-3551-3135)
- Jana Lüdtke (ORCID: https://orcid.org/0000-0002-1581-6120)
Institutions
- University of Göttingen (DE)
- Freie Universität Berlin (DE)
Publication Details
- Journal
- Behavior Research Methods
- Published
- 2026-04-13
- DOI
- https://doi.org/10.3758/s13428-026-02978-2
- Primary Topic
- Emotion and Mood Recognition
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Deutsche Forschungsgemeinschaft
- Georg-August-Universität Göttingen
- Max-Planck-Gesellschaft
- Freie Universität Berlin