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From Foundations to Frontiers: Fit-for-Purpose Discourse Science.

Brielle C Stark1

  • 1Department of Speech, Language and Hearing Sciences, Indiana University Bloomington.

American Journal of Speech-Language Pathology
|July 10, 2026
PubMed
Summary

Canonical discourse tasks are valuable for cognitive-communication disorders research but need a framework for appropriate use. A fit-for-purpose approach ensures tasks align with specific populations and clinical goals.

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Area of Science:

  • Cognitive-Communication Disorders
  • Discourse Analysis
  • Translational Research

Background:

  • Discourse analysis is crucial for assessing and treating neurogenic and cognitive-communication disorders.
  • Canonical discourse elicitation tasks (e.g., Cinderella retell) have historically yielded rich language samples for research.
  • A tension exists between the value of canonical tasks and their limitations in capturing all relevant discourse constructs.

Purpose of the Study:

  • To examine the utility and limitations of canonical discourse tasks in cognitive-communication disorders.
  • To propose a principled framework for selecting and adapting discourse tasks.
  • To advocate for a fit-for-purpose discourse science integrating various methods and technologies.

Main Methods:

  • Narrative review drawing on translational research experience.
  • Analysis of discussions from the International Cognitive-Communication Disorders Conference (ICCDC).
  • Examination of the historical role and future application of canonical discourse tasks.

Main Results:

  • Canonical tasks offer continuity and comparability but may not suit all populations or clinical needs.
  • A framework is needed to guide decisions on retaining, adapting, or developing new discourse tasks.
  • A fit-for-purpose discourse science emphasizes appropriateness, robustness, and alignment with research/clinical goals.

Conclusions:

  • The field requires a principled approach to discourse task selection, not just new tasks.
  • Integrating psychometric rigor, participatory design, and technology is essential for robust discourse science.
  • Practical guidance is provided for choosing tasks in research and clinical practice.