The future of intelligence assessment: Towards process-oriented and biologically inspired intelligence testing. Article Swipe
Gidon T. Frischkorn
,
Kirsten Hilger
,
André Kretzschmar
,
Anna‐Lena Schubert
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/3sf7m
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.31234/osf.io/3sf7m
Human intelligence represents one of the most investigated and validated constructs in psychological research. The validity of intelligence tests is, however, regularly questioned, especially when it comes to cross-cultural research. Although various alternatives and further developments of intelligence assessments have been proposed (e.g., culture-fair tests), there are still many fundamental measurement issues in cross-cultural research in need for a solution. The present article addresses this topic from the perspective of cognitive psychology and neuroscience to propose a process-oriented and biologically-inspired approach of intelligence assessment as a potential solution. We demonstrate the importance of elementary cognitive processes (e.g., working memory capacity, attention, information processing speed) underlying individual differences in intelligence and emphasize that the distinction between contents and processes plays a central role in the assessment of intelligence. From a cognitive and neuropsychological perspective, it can be assumed that especially processes lend themselves to cross-cultural comparison research, whereas contents should be understood as being rather culturally specific. We discuss three different approaches to improve the comparability of intelligence assessments across different cultures and argue that future intelligence research should combine knowledge from different scientific disciplines to identify such intelligence-relevant cognitive processes. Finally, we evaluate the potential of a process-oriented and biologically inspired intelligence assessment against the background of its current possibilities and its challenges.
Related Topics
Concepts
Comparability
Perspective (graphical)
Human intelligence
Cognition
Process (computing)
Psychology
Cultural neuroscience
Intelligence analysis
Cognitive science
Intelligence cycle
Computer science
Data science
Cognitive psychology
Artificial intelligence
Military intelligence
Political science
Mathematics
Operating system
Combinatorics
Neuroscience
Law
Computer security
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.31234/osf.io/3sf7m
- https://psyarxiv.com/3sf7m/download
- OA Status
- gold
- References
- 165
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4229457254
All OpenAlex metadata
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https://openalex.org/W4229457254Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.31234/osf.io/3sf7mDigital Object Identifier
- Title
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The future of intelligence assessment: Towards process-oriented and biologically inspired intelligence testing.Work title
- Type
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-05-10Full publication date if available
- Authors
-
Gidon T. Frischkorn, Kirsten Hilger, André Kretzschmar, Anna‐Lena SchubertList of authors in order
- Landing page
-
https://doi.org/10.31234/osf.io/3sf7mPublisher landing page
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https://psyarxiv.com/3sf7m/downloadDirect link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
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https://psyarxiv.com/3sf7m/downloadDirect OA link when available
- Concepts
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Comparability, Perspective (graphical), Human intelligence, Cognition, Process (computing), Psychology, Cultural neuroscience, Intelligence analysis, Cognitive science, Intelligence cycle, Computer science, Data science, Cognitive psychology, Artificial intelligence, Military intelligence, Political science, Mathematics, Operating system, Combinatorics, Neuroscience, Law, Computer securityTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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165Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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| primary_location.pdf_url | https://psyarxiv.com/3sf7m/download |
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| primary_location.landing_page_url | https://doi.org/10.31234/osf.io/3sf7m |
| publication_date | 2022-05-10 |
| publication_year | 2022 |
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