Working draft. The text and tools are still being checked, and corrections are welcome.

2020 · Milwaukee

Data, Dissertations, and Disciplinary Commonplaces in Quantitative Research

Session A.43

Area: Research · family: Theory and research methods

RoleName as printedAffiliation as printedPaper
Chair Peggy Davis-Suzuki St. John’s University, Brooklyn, NY → St. John's University
Speakers Mike Edwards Washington State University, Pullman → Washington State University Algorithmic Commonplaces and Fear of Numbers: Reclaiming Quantitative Rhetorics
Speakers Amy Kimme Hea The University of Arizona, Tucson → University of Arizona Resisting Crisis: A Smart Data Approach to Student Literacies
Speakers Aimee Mapes The University of Arizona, Tucson → University of Arizona Resisting Crisis: A Smart Data Approach to Student Literacies
Speakers Benjamin Miller University of Pittsburgh, PA → University of Pittsburgh Modeling Disciplinarity in Dissertations

Source

NCTE's program, near page 20 of the file. Names link to a person page only for people listed at two or more conventions.

Cite as: Conference on College Composition and Communication. “Data, Dissertations, and Disciplinary Commonplaces in Quantitative Research.” 2020 Convention Program, Milwaukee, session A.43. Via CCCC Program Reader, November 2, 2026.