Classification prediction task.

<div><p>We propose a deep learning-based method for detecting Socially Desirable Responding (SDR)—the tendency for individuals to distort questionnaire responses to present themselves in a favorable light. Our objective is to showcase that such novel methods can be leveraged to design in...

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Bibliographic Details
Main Author:	Tony C. Lee (21989390) (author)
Other Authors:	Matthias Ziegler (505726) (author)
Published:	2025
Subjects:	Sociology Science Policy Biological Sciences not elsewhere classified underlying model behaviors socially desirable tendencies socially desirable responding regions relied upon latent variable model job application simulation discern patterns within develop practical solutions common underlying cause machine learning might video introduction ). distort questionnaire responses big five questionnaire leveraging deep learning personnel selection presents nonverbal visual cues based prediction task participants ’ tendency div >< p concept </ p lower sdr tendency deep learning personnel selection lower parts entrans </ concept demonstrates based method 91 participants 71 ). higher tendency using data significant challenge sdr )— promising performance novel methods initially modelled impression management findings suggest favorable light effective way detecting sdr design instruments classification task cam method >, resulting
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Classification prediction task.

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