Breaking the Ceiling: Mitigating Extreme Response Bias in Surveys Using an Open-Ended Adaptive-Testing System and LLM-Based Response Analysis

Abstract excerpt

Assessments of extreme psychological constructs often face a persistent challenge: the ceiling effect, in which a significant proportion of respondents select the highest score on a scale, thus obscuring an important part of the population's variation. This effect may have profound consequences in studies of extreme psychological constructs. To address this limitation, we introduce a novel framework that inte...

Topics

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• Artificial Intelligence
• Machine Learning
• Mental Health
• Obesity
• Outcome Assessment, Health Care
• Phenotype
• Randomized Controlled Trials as Topic
• Resilience, Psychological

Identifiers and source

Literature Corpus work

d7aacf0c-8216-5d4a-bce9-31484d2959ba

DOI

10.20944/preprints202601.0952.v1