The Potential of Machine Learning Methods in Psychological Assessment and Test Construction-Reference-Cited by-同舟云学术

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

Published:2024-01 Issue:1 Volume:40 Page:1-4
ISSN:1015-5759
Container-title:European Journal of Psychological Assessment
language:en
Short-container-title:European Journal of Psychological Assessment

Author:

Bißantz Steven¹,Frick Susanne²,Melinscak Filip³,Iliescu Dragos⁴⁵,Wetzel Eunike¹

Affiliation:

1. Department of Psychology, University of Kaiserslautern-Landau, Germany

2. Department of Statistics, TU Dortmund University, Germany

3. Department of Cognition, Emotion, and Methods in Psychology, University of Vienna, Austria

4. Faculty of Psychology and Educational Sciences, University of Bucharest, Romania

5. Department of Industrial Psychology, Stellenbosch University, South Africa

Publisher

Hogrefe Publishing Group

Link

https://econtent.hogrefe.com/doi/pdf/10.1027/1015-5759/a000817

Reference25 articles.

1. An experimental comparison of cross-validation techniques for estimating the area under the ROC curve

2. Cross-Validation Methods

3. Using large language models in psychology

4. Machine Learning Approaches for Clinical Psychology and Psychiatry

5. Promises and pitfalls of deep neural networks in neuroimaging-based psychiatric research

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1. Item reduction of the “Support Intensity Scale” for people with intellectual disabilities, using machine learning;British Journal of Learning Disabilities;2024-08-19

2. LENs for Analyzing the Quality of Life of People with Intellectual Disability;Lecture Notes in Computer Science;2024

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