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Persuasion with Precision: Using Natural Language Processing to Improve Instrument Fidelity for Risk Communication

Ann Marie Reinhold1,2,3, Eric D Raile4, Clemente Izurieta2

  • 1Department of Land Resources & Environmental Sciences, College of Agriculture, Montana State University, Bozeman, MT USA.

Journal of Mixed Methods Research
|August 28, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new multistage procedure to improve message treatment construction in research. Utilizing a mixed methods approach with natural language processing enhances instrument fidelity and reliability for valid findings.

Keywords:
Narrative Policy Frameworkcrossover analysisexploratory sequential mixed methodsmessage constructionvalidity and reliability

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Area of Science:

  • Communication Research
  • Mixed Methods Research

Background:

  • Instrument fidelity is crucial for valid message testing research.
  • Current message treatment construction lacks standardized procedures, creating validity and reliability issues.
  • This 'black box' approach compromises inferential conclusions about treatment effects.

Purpose of the Study:

  • To present an integrated, multistage procedure for constructing precise message treatments.
  • To enhance instrument fidelity in message testing research.
  • To contribute to the field of mixed methods research by offering a novel procedural framework.

Main Methods:

  • An exploratory sequential mixed methods design was employed.
  • The procedure integrates qualitative and quantitative approaches.
  • Natural language processing (NLP) and crossover analysis were utilized for integration.

Main Results:

  • The proposed procedure offers a structured approach to message treatment construction.
  • Integration through crossover analysis enhances instrument fidelity.
  • The use of NLP facilitates precise operationalization of treatment conditions.

Conclusions:

  • The presented procedure improves the validity and reliability of message testing research.
  • This mixed methods approach addresses the limitations of current 'black box' construction methods.
  • The framework provides a replicable model for enhancing instrument fidelity in communication studies.