title: Interpretation for scales of measurement linking with abstract algebra.
abstract: THE STEVENS CLASSIFICATION OF LEVELS OF MEASUREMENT INVOLVES FOUR TYPES OF SCALE: "Nominal", "Ordinal", "Interval" and "Ratio". This classification has been used widely in medical fields and has accomplished an important role in composition and interpretation of scale. With this classification, levels of measurements appear organized and validated. However, a group theory-like systematization beckons as an alternative because of its logical consistency and unexceptional applicability in the natural sciences but which may offer great advantages in clinical medicine. According to this viewpoint, the Stevens classification is reformulated within an abstract algebra-like scheme; 'Abelian modulo additive group' for "Ordinal scale" accompanied with 'zero', 'Abelian additive group' for "Interval scale", and 'field' for "Ratio scale". Furthermore, a vector-like display arranges a mixture of schemes describing the assessment of patient states. With this vector-like notation, data-mining and data-set combination is possible on a higher abstract structure level based upon a hierarchical-cluster form. Using simple examples, we show that operations acting on the corresponding mixed schemes of this display allow for a sophisticated means of classifying, updating, monitoring, and prognosis, where better data mining/data usage and efficacy is expected.
authors.affiliation: Department of Psychiatry, Tokyo Women's Medical University, Tokyo, Japan.
authors.forename: Jitsuki
authors.initials: J
authors.lastname: Sawamura
authors.affiliation: Depression Prevention Medical Center, Inariyama Takeda Hospital, Kyoto, Japan.
authors.forename: Shigeru
authors.initials: S
authors.lastname: Morishita
authors.affiliation: Department of Psychiatry, Tokyo Women's Medical University, Tokyo, Japan.
authors.forename: Jun
authors.initials: J
authors.lastname: Ishigooka
keywords: Abstract algebra; Clinical medicine; Data-mining; Hierarchical cluster; Interpretation; Scales on measurement; Stevens classification