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Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
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Generative AI shows promise for creating personality surveys like the ChatGPT HEXACO inventory (CHI). However, it could not enhance the CHI's psychometric properties, suggesting AI is not a shortcut for improving survey quality.

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Area of Science:

  • Psychological assessment
  • Artificial intelligence in research
  • Survey methodology

Background:

  • Generative AI tools like ChatGPT offer new possibilities for research.
  • Developing reliable and valid personality inventories is crucial for psychological research.
  • Previous research has not extensively explored AI's utility in survey refinement.

Purpose of the Study:

  • To evaluate generative AI's effectiveness in creating and improving personality surveys.
  • To assess if ChatGPT can enhance the internal consistency and content validity of a generated inventory.
  • To compare the psychometric properties of AI-generated inventories with existing measures.

Main Methods:

  • A 24-item HEXACO personality inventory was generated using ChatGPT 4.0 (ChatGPT HEXACO inventory - CHI).
  • ChatGPT was prompted to modify the CHI for improved psychometric properties.
  • Three CHI versions were compared with the Brief HEXACO inventory (BHI) using psychometric analyses (reliabilities, correlations).

Main Results:

  • The three CHI versions exhibited generally comparable psychometric properties to the BHI.
  • ChatGPT was unable to significantly improve the internal consistency or content validity of the CHI.
  • Convergent and discriminant validity correlations were generally similar across CHI versions and the BHI.

Conclusions:

  • Generative AI demonstrates potential for initial survey development.
  • AI does not currently provide a shortcut for refining specific psychometric properties of questionnaires.
  • Further research is needed to optimize AI's role in psychological assessment tool development.