Dr. Niels G. Mede

Science Communication Researcher

Measuring science literacy in a digital world: Development and validation of a multi-dimensional survey scale


Journal article


Niels G. Mede, Emily L. Howell, Mike S. Schäfer, Julia Metag, Becca Beets, Dominique Brossard
Science Communication, 2025


Cite

Cite

APA   Click to copy
Mede, N. G., Howell, E. L., Schäfer, M. S., Metag, J., Beets, B., & Brossard, D. (2025). Measuring science literacy in a digital world: Development and validation of a multi-dimensional survey scale. Science Communication. https://doi.org/10.1177/10755470251317379


Chicago/Turabian   Click to copy
Mede, Niels G., Emily L. Howell, Mike S. Schäfer, Julia Metag, Becca Beets, and Dominique Brossard. “Measuring Science Literacy in a Digital World: Development and Validation of a Multi-Dimensional Survey Scale.” Science Communication (2025).


MLA   Click to copy
Mede, Niels G., et al. “Measuring Science Literacy in a Digital World: Development and Validation of a Multi-Dimensional Survey Scale.” Science Communication, 2025, doi:10.1177/10755470251317379.


BibTeX   Click to copy

@article{mede2025a,
  title = {Measuring science literacy in a digital world: Development and validation of a multi-dimensional survey scale},
  year = {2025},
  journal = {Science Communication},
  doi = {10.1177/10755470251317379},
  author = {Mede, Niels G. and Howell, Emily L. and Schäfer, Mike S. and Metag, Julia and Beets, Becca and Brossard, Dominique}
}

We present a new multilingual 14-item scale for measuring science literacy in survey and experimental research. The scale captures three essential dimensions of science literacy in a digital world: civic science literacy, science media literacy, and cognitive science literacy. We developed, tested, and validated the scale through two preregistered national quota surveys in Switzerland and the United States in four languages (English, German, French, Italian). Iterative factor analyses, Bayesian Item Response Theory analyses, and validity tests confirm robustness and reliability of the scale.