PROCEEDINGS OF THE 20TH ANNUAL CONFERENCE ON RESEARCH IN UNDERGRADUATE MATHEMATICS EDUCATION
2017
San Diego, California
Data cleaning in mathematics education research: The overlooked methodological step
Page: 1609
The results of educational research studies are only as accurate as the data used to producethem. Drawing on experiences conducting large-scale efficacy studies of classroom-basedalgebra interventions for community college and middle school students, I am developingpractice-based data cleaning procedures to support scholars in conducting rigorous research.The poster identifies common sources of data errors in mathematics education research andoffers a framework and related data cleaning process designed to address these errors. I seekfeedback on the framework and discussion around data cleaning techniques used by otherRUME scholars in their research and in the preparation of future researchers.Key words: