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Measuring flexibility: A text-mining approach.

Katalin Grajzel1, Selcuk Acar2, Denis Dumas1,3

  • 1University of Denver, Denver, CO, United States.

Frontiers in Psychology
|February 6, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a new text-mining method to measure ideational flexibility in creative thinking. This automated approach offers a reliable and cost-effective way to assess how well individuals can shift between concepts when generating ideas.

Keywords:
creativitydivergent thinkingflexibilitypsychometricstext-mining

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Area of Science:

  • Psychology
  • Cognitive Science
  • Artificial Intelligence

Background:

  • Ideational flexibility is crucial in creativity research but lacks robust psychometric measures.
  • Existing methods for assessing flexibility are often labor-intensive and costly.
  • Previous research has not fully explored automated approaches for measuring flexibility in divergent thinking.

Purpose of the Study:

  • To theoretically propose and empirically validate a text-mining based method for measuring ideational flexibility.
  • To demonstrate the reliability and validity of this novel scoring method.
  • To offer a practical, objective, and less labor-intensive alternative to traditional flexibility assessments.

Main Methods:

  • Developed and validated a text-mining algorithm to score flexibility in verbal divergent thinking (DT) responses.
  • Utilized the Torrance Test of Creative Thinking (TTCT) in the first study to correlate the new method with existing scores.
  • Employed the Alternate Uses Task (AUT) in the second study for confirmatory factor analysis, assessing reliability, construct validity, and criterion validity through personality facets.

Main Results:

  • The text-mining flexibility scoring method showed a strong positive correlation with traditional TTCT flexibility scores.
  • Confirmatory factor analysis supported the reliability and construct validity of the text-mining based flexibility scoring.
  • Analysis of personality facets provided criterion validity for the proposed scoring methodology.

Conclusions:

  • The text-mining based method offers a psychometrically sound and practical approach to measuring ideational flexibility.
  • This automated scoring system is less labor-intensive and more cost-effective than traditional methods.
  • The study recommends the adoption of this novel text-mining technique for objective flexibility assessment in creativity research.