Pedersen Arthur Paul, Kellen David, Mayo-Wilson Conor, Davis-Stober Clintin P, Dunn John C, Khan M Ali, Stinchcombe Maxwell B, Kalish Michael L, Tentori Katya, Haaf Julia
Department of Computer Science, Remote Sensing Earth Systems Institute, The City University of New York, New York, NY 10031.
Department of Psychology, Syracuse University, Syracuse, NY 13244.
Proc Natl Acad Sci U S A. 2025 Feb 4;122(5):e2401229121. doi: 10.1073/pnas.2401229121. Epub 2025 Jan 27.
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.
强大的科学推理、有效的实验设计、测量量的概念性和实证性验证以及理论构建中误差的清晰解释都需要测量素养。本文探讨了测量问题是如何提出和解决的,并解决了潜在的误解。从各个科学领域中选取的例子用于表明,测量素养促进了科学话语的目标,并为在科学中确立观点和进行干预提供了必要的基础。