出版社：American Society for Education Science Research
摘要：Vectors in n-dimensional spaces are elements of analytical geometry. In empirical studies
which operate with bivariate tables, the columns or rows can be understood as vectors of
elements that represent the observed variables (dimensions). This article aims to illustrate and
promote correspondence analysis as a model to describe and interpret the relationship
between the included variables. This is achieved by the projection of vectors in a
2-dimensional plane and the interpretation of the distance between the points in space which
are described by the vectors as differences between the variables. In order to reach this aim
we need to point out the theoretical framework of correspondence analysis and sketch two
applications in the field of quantitative and qualitative research in mathematical education.
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