in the context of
correspondence analysis pertains to the quality of representation of the respective row point in the coordinate system defined by the respective numbers of dimensions, as chosen by the user. The quality of a point is defined as the ratio of the squared distance of the point from the origin in the chosen number of dimensions, over the squared distance from the origin in the space defined by the maximum number of dimensions (remember that the metric in the typical
correspondence analysis is
Chi-square ). By analogy to
Factor Analysis , the quality of a point is similar in its interpretation to the communality for a variable in factor analysis.A low quality means that the current number of dimensions does not represent well the respective row (or column).