Psychological Assessment Using NLP and LLMs

This repository contains the data and implementation materials for "Beyond Likert Scales: Convergent Validity of an NLP-Based Future Self-Continuity Assessment from Verbal Data" (DOI: 10.31234/osf.io/ub5am_v1). The project demonstrates a novel method of psychological assessment that uses Natural Language Processing (NLP) and Large Language Models (LLMs) to analyze verbal responses to structured interview prompts related to Future Self-Continuity (FSC). The repository is organized into two main components: Study Data Protocol dataset from the validation study (N=164) Brief report data files Implementation Python code for NLP-based FSC assessment using Claude API Claude API prompt engineering and scoring rubrics Configuration templates and setup documentation Implementation README with replication instructions For implementation questions or technical support, please contact the corresponding author.