Danielle M. DeVasto

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Who Reads DeVasto

Danielle M. DeVasto's work travels primarily in Technical Communication (70% of indexed citations) · 27 total indexed citations from 4 clusters.

By cluster

  • Technical Communication — 19
  • Rhetoric — 5
  • Digital & Multimodal — 2
  • Other / unclustered — 1

Counts include only citations from indexed journals that deposit reference lists with CrossRef. Authors whose readers publish primarily in venues without reference deposits will appear less central than they are. See coverage notes →

  1. Technical Communication Quarterly Jan 2015
    Statistical Genre Analysis: Toward Big Data Methodologies in Technical Communication ↗
    S. Scott Graham; Sang-Yeon Kim; Danielle M. DeVasto; William Keith
    Abstract

    This article pilots a study in statistical genre analysis, a mixed-method approach for (a) identifying conventional responses as a statistical distribution within a big data set and (b) assessing which deviations from the conventional might be more effective for changes in audience, purpose, or context. The study assesses pharmaceutical sponsor presentations at the Food and Drug Administration (FDA) drug advisory committee meetings. Preliminary findings indicate the need for changes to FDA conflict-of-interest policies.

    genre theory technical communication
    doi:10.1080/10572252.2015.975955