Literaturnachweis - Detailanzeige
Autor/in | Hubbard, Aleata |
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Titel | Data Cleaning in Mathematics Education Research: The Overlooked Methodological Step [Konferenzbericht] Paper presented at the Annual Conference on Research in Undergraduate Mathematics Education (20th, San Diego, CA, 2017). |
Quelle | (2017), (12 Seiten)
PDF als Volltext |
Zusatzinformation | Weitere Informationen |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Monographie |
Schlagwörter | Educational Research; Mathematics Education; Algebra; Intervention; Two Year College Students; Middle School Students; Error Patterns; Error Correction; Data Collection; Efficiency; Research Methodology; Mathematics Tests; Student Surveys; Student Attitudes; Journal Writing; Barriers; Data Analysis Bildungsforschung; Pädagogische Forschung; Mathematische Bildung; Middle school; Middle schools; Student; Students; Mittelschule; Mittelstufenschule; Schüler; Schülerin; Fehlertyp; Korrektur; Data capture; Datensammlung; Effectiveness; Effektivität; Wirkungsgrad; Research method; Forschungsmethode; Schülerbefragung; Schülerverhalten; Zeitschriftenaufsatz; Auswertung |
Abstract | The results of educational research studies are only as accurate as the data used to produce them. Drawing on experiences conducting large-scale efficacy studies of classroom-based algebra interventions for community college and middle school students, I am developing practice-based data cleaning procedures to support scholars in conducting rigorous research. The paper identifies common sources of data errors in mathematics education research and offers a framework and related data cleaning process designed to address these errors. [This paper was published in: Weinberg, A., Rasmussen, C., Rabin, J., Wawro, M., and Brown, S. (Eds.), "Proceedings of the 20th Annual Conference on Research in Undergraduate Mathematics Education," p129-140. San Diego, CA (2017).] (As Provided). |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |