An uncomplicated introduction to measurement theory Article Swipe
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/cm4he
Measurement in psychology is usually associated with psychometrics. Despite all the theoretical breakthroughs allowed by psychometric methods, they represent only a restricted range of possible measures in social sciences. Representational measurement theory (RMT) generalizes the procedures of measurement in hard sciences to applications that can be useful for social scientists. However, RMT is still unknown to many researchers, mainly because of its abstract nature as a branch of mathematics. The objective of this is paper is to present an introduction to measurement theory that focusses more on its intuitive understanding rather than on its technical aspects. This paper is structured as follows. First, we present general description of measurement theory with special focus on representational measurement theory (RMT). We then describe the main characteristics of the four main problems of RMT (i.e., representation, uniqueness, scaling, and meaningfulness). Finally, we discuss some important aspects for future research.
Related Topics
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31234/osf.io/cm4he
- https://osf.io/cm4he/download
- OA Status
- gold
- References
- 139
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390055799
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390055799Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.31234/osf.io/cm4heDigital Object Identifier
- Title
-
An uncomplicated introduction to measurement theoryWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2023Year of publication
- Publication date
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2023-12-21Full publication date if available
- Authors
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Víthor Rosa Franco, Moritz Heene, Benjamin W. Domingue, Marcos JiménezList of authors in order
- Landing page
-
https://doi.org/10.31234/osf.io/cm4hePublisher landing page
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https://osf.io/cm4he/downloadDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://osf.io/cm4he/downloadDirect OA link when available
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Representation (politics), Focus (optics), Computer science, Range (aeronautics), Uniqueness, Item response theory, Management science, Epistemology, Data science, Psychometrics, Psychology, Mathematics, Social psychology, Engineering, Statistics, Law, Politics, Aerospace engineering, Philosophy, Optics, Physics, Political scienceTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
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139Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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