A multifocal lens on qualitative data analysis: an affordance of networking theoretical approaches

Heather Lynn Johnson (1) , Evan Mcclintock (1) , Nancy L Leech (1)

1 University of Colorado [Denver]

We address the problem of interplay between methods of qualitative data analysis and the networking of theories. When we call a multifocal lens on data analysis an "affordance," we mean a benefit or resource that people may perceive possible when networking theoretical approaches. To situate our argument, we draw parallels between challenges in the fields of mixed methods and mathematics education. Examining the analysis methods in an empirical study of students' conceptions of what graphs represent, we argue that a multifocal lens can help to explain complexities when investigating students' reasoning. Our work contributes to efforts to advance the scope and depth of data analysis techniques employed when researchers network theories.

Mots clés: Theories; data analysis; qualitative research; graphs

Domaines: Mathématiques [math]

Heather Lynn Johnson, Evan Mcclintock, Nancy L Leech. A multifocal lens on qualitative data analysis: an affordance of networking theoretical approaches. Twelfth Congress of the European Society for Research in Mathematics Education (CERME12), Feb 2022, Bozen-Bolzano, Italy. ⟨hal-03749217⟩