The Potential of Machine Learning Methods in Psychological Assessment and Test Construction

IF 3.2 3区 心理学 Q2 PSYCHOLOGY, APPLIED European Journal of Psychological Assessment Pub Date : 2024-01-05 DOI:10.1027/1015-5759/a000817
Steven Bißantz, Susanne Frick, Filip Melinscak, D. Iliescu, Eunike Wetzel
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机器学习方法在心理评估和测试构建中的潜力
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来源期刊
CiteScore
6.40
自引率
4.00%
发文量
71
期刊介绍: The main purpose of the EJPA is to present important articles which provide seminal information on both theoretical and applied developments in this field. Articles reporting the construction of new measures or an advancement of an existing measure are given priority. The journal is directed to practitioners as well as to academicians: The conviction of its editors is that the discipline of psychological assessment should, necessarily and firmly, be attached to the roots of psychological science, while going deeply into all the consequences of its applied, practice-oriented development.
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