A discourse on the use of machine learning (ML) in personality psychology: Can we expect ML to predict questionnaire scores from idiographic text-based data?
Loading...
Author (Corporation)
Publication date
10.09.2025
Type of student thesis
Course of study
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
Journal of Research in Personality
Special issue
DOI of the original publication
Link
Series
Series number
Volume
119
Issue / Number
Pages / Duration
104666
Patent number
Publisher / Publishing institution
Elsevier
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Keywords
Subject (DDC)
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
0092-6566
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
New Work
Publication status
Published
Review
Peer review of the complete publication
Open access category
Hybrid
License
Citation
Schreiber, M., Jenny, G. J., Hürlimann, M., Parfenova, Y., von Däniken, P., & Cieliebak, M. (2025). A discourse on the use of machine learning (ML) in personality psychology: Can we expect ML to predict questionnaire scores from idiographic text-based data? Journal of Research in Personality, 119, 104666. https://doi.org/10.1016/j.jrp.2025.104666