Getting the Personality Inventory for DSM-5 Ready for Clinical Practice: Population-Representative Norms That Embrace Uncertainty
Abstract
The Personality Inventory for DSM-5 (PID-5) is the standard measure of the maladaptive traits in the Alternative DSM-5 Model for Personality Disorders, but normative information for score interpretation has remained limited. Existing norms refer to the U.S. population, are not conditioned on age and gender, and report point values without any quantification of uncertainty. We derived norms for the facets, domains, and total scores of the full PID-5 and its abbreviated versions, referenced to the German general population and conditional on age and gender. A modular Bayesian pipeline combined a probability-based reference sample (N = 4,727) with three “donor” samples that completed the full instrument (N = 2,471), linked via 34 common items. The norm tables quantify uncertainty at two levels, with credible bands for every norm value and score-conditional intervals for every raw score, and can be applied through a free online scoring platform.
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BibTeX
@misc{zimmermann2026getting,
title = {{Getting the Personality Inventory for DSM-5 Ready for Clinical Practice: Population-Representative Norms That Embrace Uncertainty}},
author = {Johannes Zimmermann and André Kerber and Christoph J. Kemper and Katharina Weweck},
howpublished = {PsyArXiv},
year = {2026},
month = sep,
doi = {10.31234/osf.io/5hm43_v2},
url = {https://osf.io/preprints/psyarxiv/5hm43_v2/},
note = {CC BY 4.0},
}
RIS
TY - UNPB
TI - Getting the Personality Inventory for DSM-5 Ready for Clinical Practice: Population-Representative Norms That Embrace Uncertainty
AU - Johannes Zimmermann
AU - André Kerber
AU - Christoph J. Kemper
AU - Katharina Weweck
PY - 2026
DA - 2026/09/16
PB - PsyArXiv
DO - 10.31234/osf.io/5hm43_v2
UR - https://osf.io/preprints/psyarxiv/5hm43_v2/
AB - The Personality Inventory for DSM-5 (PID-5) is the standard measure of the maladaptive traits in the Alternative DSM-5 Model for Personality Disorders, but normative information for score interpretation has remained limited. Existing norms refer to the U.S. population, are not conditioned on age and gender, and report point values without any quantification of uncertainty. We derived norms for the facets, domains, and total scores of the full PID-5 and its abbreviated versions, referenced to the German general population and conditional on age and gender. A modular Bayesian pipeline combined a probability-based reference sample (N = 4,727) with three “donor” samples that completed the full instrument (N = 2,471), linked via 34 common items. The norm tables quantify uncertainty at two levels, with credible bands for every norm value and score-conditional intervals for every raw score, and can be applied through a free online scoring platform.
ER -