Measurement Fundamentals: A Pragmatic View

Mari, Luca; Carbone, Paolo; Petri, Dario

doi:10.1109/tim.2012.2193693

Cited by 58 publications

(35 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The understanding of measurement that we favor is much broader than what the vim contemplates, and generally it agrees with the definitions suggested or entertained by Nicholas and White, 20 Dybkaer, 21 White, 22 and Mari and Carbone 23 to address the evolving and expanding needs of measurement science. In this conformity, we propose the following definition, where the word "measurand" (cf.…”

Section: A Definitionsupporting

confidence: 72%

“…V) is an essential part of measurement because it delineates a margin of doubt that qualifies the reliability (or trustworthiness) of the assignment of a value (estimate) to the measurand and suggests the extent to which the measurement result conveys the same information for different users in different places and at different times. 23 For this reason, a measurement result must comprise both an estimate of the measurand and an evaluation of the associated uncertainty.…”

Section: A Definitionmentioning

confidence: 99%

“…Fitness-for-purpose also determines the extent of the effort that needs to be put into the evaluation of measurement uncertainty: for example, the uncertainty requirements when measuring air temperature with a liquid-in-glass thermometer in a Stevenson screen for purposes of long-term climate monitoring are much less onerous than the requirements concerning the uncertainty associated with the measurement of length, when substantiating the detection of gravitational waves. 33 Mari and Carbone 23 suggest that objectivity and intersubjectivity are defining traits of measurement. The former meaning "that measurement results actually provide information about the measurand and not of some other property."…”

Section: A Definitionmentioning

confidence: 99%

See 2 more Smart Citations

Invited Article: Concepts and tools for the evaluation of measurement uncertainty

Possolo

Iyer

2017

Review of Scientific Instruments

View full text Add to dashboard Cite

Section: A Definitionsupporting

confidence: 72%

Section: A Definitionmentioning

confidence: 99%

Section: A Definitionmentioning

confidence: 99%

See 1 more Smart Citation

Invited Article: Concepts and tools for the evaluation of measurement uncertainty

Possolo

Iyer

2017

Review of Scientific Instruments

View full text Add to dashboard Cite

“…Measurement has long been an important and prominent concept in the physical sciences, engineering, and natural philosophy, and is often considered a privileged method for acquiring information about the world (e.g., [38]). Given this, it is unsurprising that the psychological sciences 1 have, since their inception, developed a variety of techniques that purport to be instances of measurement as well [23,45].…”

Section: Introductionmentioning

confidence: 99%

On the Philosophical Foundations of Psychological Measurement

Maul¹,

Irribarra²,

Wilson³

2013

PsycEXTRA Dataset

View full text Add to dashboard Cite

a r t i c l e i n f oArticle history: Available online xxxx Keywords:Educational and psychological measurement Philosophy of measurement Philosophy of science Empiricism Pragmatism Scientific realism a b s t r a c t Measurement has played a central role in the development of the physical sciences and engineering, and is considered by many to be a privileged method for acquiring information about the world. It is thus unsurprising that the psychological sciences have also attempted to develop methods for measurement. However, it is not clear how the ways in which psychological scientists understand measurement accord with how the concept is understood in other scientific disciplines, or by the professional and general publics. In part this may be due to the ways in which several distinct strands of thinking about scientific inquiry (and measurement in particular) have influenced the work of psychological scientists over roughly the past hundred years. Given that such influences are often not studied or even acknowledged, many psychological scientists may be unaware of the resulting tensions in their conceptual vocabulary, and of the gaps between the nature of their claims on psychological measurement and the substantiation for those claims. The aim of this paper is to overview the major philosophical influences on thinking about psychological measurement, and to note the pitfalls of some of the extreme positions that have emerged. We hope that such an overview may help facilitate greater clarity concerning the semantics of measurement claims made by psychological scientists.

show abstract

“…Consequently, the identification and evaluation of this "other available relevant information" represents one of the fundamental and widely discussed issues in the measurement science [3]- [5]. Generally, as stated again in the VIM, a measurement result is "expressed as a single measured quantity value and a measurement uncertainty" [1].…”

mentioning

confidence: 99%

The Construction of Joint Possibility Distributions of Random Contributions to Uncertainty

Ferrero

Prioli

Salicone

2014

IEEE Trans. Instrum. Meas.

View full text Add to dashboard Cite

The evaluation and expression of uncertainty in measurement is one of the fundamental issues in measurement science and challenges measurement experts especially when the combined uncertainty has to be evaluated. Recently, a new approach, within the framework of possibility theory, has been proposed to generalize the currently followed probabilistic approach. When possibility distributions are employed to represent random contribution to measurement uncertainty, their combination is still an open problem. This combination is directly related to the construction of the joint possibility distribution, generally performed by means of t-norms. The problem is that joint possibility distributions strongly depend on the considered t-norm, and, therefore, the choice of one particular t-norm over another has to be justified. The first goal of this paper is, hence, to provide support to the choice of a particular t-norm. The second goal is to discuss the construction of the joint possibility distribution when the two random contributions to uncertainty show mutual dependence, with specific reference to a particular class of possibility distributions.

show abstract

Measurement Fundamentals: A Pragmatic View

Cited by 58 publications

References 9 publications

Invited Article: Concepts and tools for the evaluation of measurement uncertainty

Invited Article: Concepts and tools for the evaluation of measurement uncertainty

On the Philosophical Foundations of Psychological Measurement

The Construction of Joint Possibility Distributions of Random Contributions to Uncertainty

Contact Info

Product

Resources

About