Discourse on measurement

• 成果类型: Article
• 署名作者: 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
• 署名单位: City University of New York (CUNY) System; Syracuse University; University of Washington; University of Washington Seattle; University of Missouri System; University of Missouri Columbia; University of Western Australia; Johns Hopkins University; University of Trento; University of Potsdam
• 刊物名称: PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
• ISSN/ISSBN: 0027-14580
• DOI: 10.1073/pnas.2401229121
• 发表日期: 2025-02-04
• 关键词: conjoint-measurement; multinomial models; general-theory; scales; REPRESENTATION; meaningfulness; statistics; dimensions; interval; CHOICE

摘要

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.