Measures and Scales

On this page, you can find scales that my colleagues and I have developed. The scales are copyrighted but you are free to use them without permission as long as you give credit by citing the respective articles. If you have any questions, please feel free to reach out.

  • Literacy Scales
    • Youth Social Media Literacy Inventory – YSMLI (objective knowledge test, different versions) [Link to paper, Items]
    • Critical Media Literacy Scale (self-reported) [Items]
    • Online Privacy Literacy Scale – OPLIS (objective knowledge test) [Website]
    • Algorithm Literacy Scale (objective knowledge test) [Link to paper (Items in online supplement)]
  • Scales Measuring Privacy-Related Aspects


I strongly believe in the value of openness and transparency in science. In light of recent meta-scientific discoveries and developments (e.g., replication crisis, identification of questionable research practices, meta-analytical evidence for publication bias, etc.), I strongly advocate for making all materials (e.g., items, stimuli, coding procedures, etc.), data (if possible), and analysis scripts available to the public. Next to this website, you can find most of the data that I collected over the years on my OSF page.

I believe sharing data, materials, and scripts is important not only for evaluating a study’s contribution and methodological soundness, but also to allow other researchers to reproduce the study computationally, replicate it independently, or include it in meta-analyses. In the last years, I have published several datasets that can be used for scientific purposes. If you have any questions about the data or are interested in collaborating on an analysis, please feel free to reach out.

  • Masur, P. K., Bazarova, N. N. & DiFranzo, D. J. (2023). A survey study on the relationship between social norms and self-disclosure on Facebook and Instagram. Open Science Framework:
  • Masur, P. K., DiFranzo, D. J., & Bazarova, N. N. (2021). An experimental study on behavioral adaption to existing collective norms on social media. Open Science Framework:
  • Masur, P. K., DiFranzo, D. J., & Bazarova, N. N. (2021). An experimental study on collective norm perceptions on social media. Open Science Framework:
  • Trepte, S., Masur, P. K. & Dienlin, T. (2019). A longitudinal survey on privacy concerns, literacy, disclosure, support. (5 waves, representative for the German population). GESIS Datorium:
  • Masur, P. K. & Scharkow, M. (2016). A cross-sectional survey on privacy and self-disclosure on social media. Open Science Framework:
  • Bauer, A., Loy, L. S., Masur, P. K. & Schneider, F. M. (2018). A diary study on instant messaging and mindfulness. Open Science Framework:


You can find most of my software and code on github. I primarily work with R and have developed some procedures to run various statistical models and to facilitate computationally reproducible reporting. Below, you find some R packages that I recently developed: