Discourse on measurement
Measurement literacy is required for strong scientific reasoning, effective experimental design, conceptual and empirical validation of measurement quantities, and the intelligible interpretation of error in theory construction. This discourse examines how issues in measurement are posed and resolved and addresses potential misunderstandings. Examples drawn from across the sciences are used to show that measurement literacy promotes the goals of scientific discourse and provides the necessary foundation for carving out perspectives and carrying out interventions in science.
Authors
- John C. Dunn (ORCID: https://orcid.org/0000-0002-3950-3460)
- Julia M. Haaf (ORCID: https://orcid.org/0000-0001-5122-706X)
- Clintin P. Davis‐Stober (ORCID: https://orcid.org/0000-0002-6836-6979)
- M. Ali Khan (ORCID: https://orcid.org/0000-0003-3852-4400)
- David Kellen (ORCID: https://orcid.org/0000-0003-1483-7875)
- Michael L. Kalish (ORCID: https://orcid.org/0000-0002-2810-7550)
- Katya Tentori (ORCID: https://orcid.org/0000-0002-5968-9936)
- Conor Mayo‐Wilson
- Arthur Paul Pedersen (ORCID: https://orcid.org/0000-0002-2164-6404)
- Maxwell B. Stinchcombe
Institutions
- Johns Hopkins University (US)
- City University of New York (US)
- University of Potsdam (DE)
- The University of Western Australia (AU)
- University of Trento (IT)
- University of Washington (US)
- Remote Sensing Systems (United States) (US)
- Syracuse University (US)
- University of Missouri (US)
- The University of Texas at Austin (US)
Publication Details
- Journal
- Proceedings of the National Academy of Sciences
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1073/pnas.2401229121
- Citations
- 2
- Primary Topic
- Philosophy and History of Science
- Type
- article
- Field-Weighted Citation Impact
- 36.05
Funders
- National Science Foundation
- U.S. Department of Defense
- Johns Hopkins University
- National Institutes of Health
- Centre of Excellence for Integrative Brain Function, Australian Research Council
- Australian Research Council Centre of Excellence for Mathematical and Statistical Frontiers