Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.
In: Journal of Psychopathology and Clinical Science, 2024-06-17
academicJournal
Zugriff:
Titel: |
Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.
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Autor/in / Beteiligte Person: | Bőthe, Beáta ; Vaillancourt-Morel, Marie-Pier ; Bergeron, Sophie ; Hermann, Zsombor ; Ivaskevics, Krisztián ; Kraus, Shane W. ; Grubbs, Joshua B. |
Zeitschrift: | Journal of Psychopathology and Clinical Science, 2024-06-17 |
Veröffentlichung: | US : American Psychological Association, 2024 |
Medientyp: | academicJournal |
ISSN: | 2769-7541 (print) ; 2769-755X (electronic) |
DOI: | 10.1037/abn0000913 |
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