PSYCH—Psychometric Assessment of Large Language Model Characters: An Exploration of the German Language

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Authors: Nane Kratzke, Niklas Beuter, André Drews, Monique Janneck
Cited by: 3
References: 21

Abstract

Background: Existing evaluations of large language models (LLMs) largely emphasize linguistic and factual performance, while their psychometric characteristics and behavioral biases remain insufficiently examined, particularly beyond English-language contexts. This study presents a systematic psychometric screening of LLMs in German using the validated Big Five Inventory-2 (BFI-2). Methods: Thirty-two contemporary commercial and open-source LLMs completed all 60 BFI-2 items 60 times each (once with and once without having to justify their answers), yielding over 330,000 responses. Models answered independently, under male and female impersonation, and with and without required justifications. Responses were compared to German human reference data using Welch’s t-tests (p

Fields of Study & Subjects

Psychometric Methodologies and Testing Mental Health via Writing Neurobiology of Language and Bilingualism

Publication details

Journal / source
Analytics
Publisher
MDPI AG
Volume
5
Issue
1
Pages
5–5
Publication date
6 January 2026
Language
EN