Nodewise Predictability in Cross-Sectional Data Does Not Outperform Mechanical Totals in Predicting Sexual Reoffending.

Saved in:
Bibliographic Details
Title: Nodewise Predictability in Cross-Sectional Data Does Not Outperform Mechanical Totals in Predicting Sexual Reoffending.
Authors: Jonkers Both D; Stichting Transfore, forensic outpatient clinic De Tender, Deventer, The Netherlands.; Department of Forensic Science, University of Amsterdam, The Netherlands., Babchishin KM; Department of Psychology, Carleton University, Canada., Bouman YHA; Stichting Transfore, forensic outpatient clinic De Tender, Deventer, The Netherlands., Burger J; Yale University, New Haven, CT, USA., Sjerps M; Netherlands Forensic Institute, The Hague, The Netherlands.; Kortweg-de Vries Institute for mathematics, University of Amsterdam, The Netherlands., van den Berg JW; Stichting Transfore, forensic outpatient clinic De Tender, Deventer, The Netherlands.
Source: Assessment [Assessment] 2026 Jul; Vol. 33 (5), pp. 834-844. Date of Electronic Publication: 2025 Jul 29.
Publication Type: Journal Article
Journal Info: Publisher: Sage Publications Country of Publication: United States NLM ID: 9431219 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1552-3489 (Electronic) Linking ISSN: 10731911 NLM ISO Abbreviation: Assessment Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1552-3489
DOI:10.1177/10731911251350552