AI Enhanced Validation of Survey Instruments

Integrating Semi-Automated Methods in Cognitive Interviews for Children’s Self- and Proxy Assessments of Health (AI-SIC).
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We report on how we corrected our automated transcripts and what we noticed in the process

Results from a codebook pre-test with three different LLMs on our silicon interviews

Our experiments show how XAI methods can trace model decisions and how these relate to disagreements among human coders