Journal of Business and Technical Communication Jul 2024

Content Analysis, Construct Validity, and Artificial Intelligence: Implications for Technical and Professional Communication and Graduate Research Preparation

Stuart Deets Twin Cities Orthopedics ; Caitlin Baulch University of Minnesota ; Alison Obright Twin Cities Orthopedics ; Dan Card University of Minnesota

Abstract

Artificial intelligence tools are being increasingly used to do content analysis in technical and professional communication (TPC). The authors consider some of the affordances and constraints of these tools and suggest that construct validity is an underdiscussed form of validity within TPC research that will become more important as artificial intelligence research tools become increasingly prevalent. But construct validity is an important idea for graduate programming on research methods regardless of the type of method, technique, or tool used—whether qualitative or computational. Thus, training in construct validity is important for strengthening graduate research preparation in TPC.

Journal
Journal of Business and Technical Communication
Published
2024-07-01
DOI
10.1177/10506519241239951
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Open Access
Closed
Topics
professional writing artificial intelligence
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Citation Context

Cited by in this index (3)

  1. Deets (2026)
    A quantitative, computational investigation of Computers and Composition: Using…
    Computers and Composition
  2. Mallette et al. (2026)
    Preparing to Edit Ethically with and for AI Contexts
    Technical Communication Quarterly
  3. Aguilar (2026)
    Increasing Literacy on the Scams Targeting Latines: Generative Artificial Intel…
    Journal of Business and Technical Communication

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CrossRef global citation count: 4 View in citation network → Build reading path →

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