Geometric Data Analysis as a Tool for Reflexivity

Abstract: In this article, I propose a reflection on the use of geometric data analysis (GDA) as a tool allowing for a higher degree of reflexivity regarding data collection, data analysis, and their sociological interpretation in the case of "social space" studies. I will especially stress the fact that the subject of observation and of analysis can be integrated in the constructed objects dealt with in GDA studies (namely clouds of points). Hence, subjects of observation or analysts can be visualized as projections in a geometric sense in the constructed space(s). This simple geometric technique can allow for a more systematic and relational appraisal of various potential biases at various stages. These biases usually relate to the sociological trajectory - and hence internalized and largely unconscious dispositions - of the analyst, which can also be seen by that way as relational properties in a multidimensional space. I illustrate this epistemological and methodological perspective with

Object Details

• Alternative title: Geometrische Datenanalyse als Mittel der Reflexivität
• Location: Deutsche Nationalbibliothek Frankfurt am Main
• Extent: Online-Ressource
• Language: Englisch

References and Relationships

• Bibliographic citation: Geometric Data Analysis as a Tool for Reflexivity ; volume:46 ; number:2 ; year:2021 ; pages:126-154 ; Veröffentlichungsversion ; begutachtet (peer reviewed) ; Historical social research ; 46, Heft 2 (2021), 126-154

Classification and Topics

• Classification: Sozialwissenschaften, Soziologie, Anthropologie

Contributors, Places and Time

• Event: Veröffentlichung
• (where): Mannheim
• (who): SSOAR, GESIS – Leibniz-Institut für Sozialwissenschaften e.V.
• (when): 2021
• Creator: Lebaron, Frédéric

Further information

• DOI: 10.12759/hsr.46.2021.2.126-154
• URN: urn:nbn:de:101:1-2022101812590526285220
• Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Last update: 15.08.2025, 7:34 AM CEST