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

IF 3 3区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY Motivation Science Pub Date : 2024-07-25 DOI:10.1037/mot0000358
David Scheffer, Jonas Klöpper, Niklas Scheffer, Greta Rose, Thomas Fraunholz, Philipp Klein, Kai Rudolf Fricke, P. Y. Herzberg
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利用动态项目反应理论和基于自然语言处理的机器学习提高操作动机测验的可靠性。
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Motivation Science
Motivation Science Environmental Science-Environmental Engineering
CiteScore
5.80
自引率
3.00%
发文量
41
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