Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
On Trial: the Compatibility of Measurement in the Physical and Social Sciences
Modus Outcomes, UK.
RISE, SP – Sveriges Tekniska Forskningsinstitut.
MetaMetrics Inc, USA; University of North Carolina, USA.
2016 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 772, no 1, article id 012025Article in journal (Refereed) Published
Abstract [en]

In this paper, we put social measurement on trial: providing two perspectives arguing why measurement in the social and in the physical sciences are incompatible and counter with two perspectives supporting compatibility. For the case 'against', we first argue that there is a lack of definition in the social sciences. Thus, while measurement in the physical sciences is supported by empirical evidence, calibrated instruments, and predictive theory that work together to test the quantitative nature of properties, measurement in the social sciences, in the main, rests on a vague, discretionary definition of measurement that places hardly any restrictions on empirical data, does not require calibrated instruments, and rarely articulates predictive theories. The second argument for the case 'against' introduces the problem associated with psychometrics, including different approaches, methodologies, criteria for success and failure, and considerations as to what counts as measurement. Making the first case 'for', we highlight practical principles for improved social measurement including units, laws, theory, and metrology. The second argument 'for' introduces the exemplar of the Lexile Framework for reading that exploits metrological principles and parallels the paths taken by, for example, thermometry. We conclude by proposing a way forward potentially applicable to both physical and social measurement, in which inferences are modelled in terms of a measurement system, where specifically the output of the instrument in response to probing the object ('entity') is a performance metric, i.e. how well the set-up performs the assessment.

Place, publisher, year, edition, pages
2016. Vol. 772, no 1, article id 012025
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-27942DOI: 10.1088/1742-6596/772/1/012025Scopus ID: 2-s2.0-85009919629OAI: oai:DiVA.org:ri-27942DiVA, id: diva2:1067622
Conference
2016 Joint IMEKO TC1-TC7-TC13 Symposium: Metrology Across the Sciences: Wishful Thinking?, August 3-5, Berkeley, US
Available from: 2017-01-23 Created: 2017-01-23 Last updated: 2020-12-01Bibliographically approved

Open Access in DiVA

fulltext(1566 kB)168 downloads
File information
File name FULLTEXT01.pdfFile size 1566 kBChecksum SHA-512
191420771ac32877ded7a3e28e586922c110925734eb7f0db6f9ebd1c4b9552f029be0172914628bc16d8ef14e1730ed28853b42b46fc81bb06615ea16483d4f
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus
By organisation
SP – Sveriges Tekniska Forskningsinstitut
In the same journal
Journal of Physics, Conference Series
Natural Sciences

Search outside of DiVA

GoogleGoogle Scholar
Total: 168 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 119 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf