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  5. Using dynamic item response theory and machine learning based on natural language processing to improve the reliability of the Operant Motive Test

Using dynamic item response theory and machine learning based on natural language processing to improve the reliability of the Operant Motive Test

Publication date
2025
Document type
Forschungsartikel
Author
Scheffer, David
Klöppe, Jonas
Scheffer, Niklas
Rose, Greta
Fraunholz, Thomas
Klein, Philipp
Fricke, Kai Rudolf
Herzberg, Philipp Yorck  
Organisational unit
Persönlichkeitspsychologie und Psychologische Diagnostik  
DOI
10.1037/mot0000358
URI
https://openhsu.ub.hsu-hh.de/handle/10.24405/19862
Publisher
American Psychological Association
Series or journal
Motivation Science
ISSN
2333-8113
Periodical volume
11
Periodical issue
1
First page
24
Last page
38
Peer-reviewed
✅
Part of the university bibliography
✅
Additional Information
Language
English
Version
Published version
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Metadata only access

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