Correspondence analysis as a tool to analyze the relational structure of students' intuitive strategies in judging statistical association

Batanero, C., Estepa, A., & Godino, J. D.
University of Granada: University of Jaen
Granada, Spain: Jaen, Spain

The theoretical basis of this paper is the modeling of students' knowledge about a specific subject as a qualitative and systemic construct. Following therefrom, a discussion about the role of multivariate analysis for studying the structure of this knowledge and for building explanatory models relating its structure to task, cognitive and instructional variables. Correspondence analysis in an empirical study referring to statistical association is used as an example.

The CAUSE Research Group is supported in part by a member initiative grant from the American Statistical Association’s Section on Statistics and Data Science Education