Can a linear combination model be scientific explanation? Integration of mathematical sociology and empirical social research in class identification study

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A linear combination model of explanatory variables such as a multiple regression analysis is often used as the simplest approximation of true relation between explanatory and response variable. This paper shows that a linear combination model can be logically derived from the models of mathematical sociology that consist of sociological assumptions and attempts to give a linear combination model theoretical ground. We show that a linear combination model can be an explanatory model rather than just a curve-fitting model. In the context of studies of class identification, we show that the Farao-Kosaka model and the inherited status model can be a theoretical ground for a linear combination model of class identification and clarify the condition that is needed for an integrated development of mathematical sociology and sociometrics in the field of social stratification.

    Original languageEnglish
    Pages (from-to)259-276
    Number of pages18
    JournalSociological Theory and Methods
    Volume27
    Issue number2
    Publication statusPublished - 2012 Dec 1

    Keywords

    • Class identification
    • Fararo-Kosaka model
    • Inherited status model
    • Linear combination model

    ASJC Scopus subject areas

    • Social Sciences (miscellaneous)
    • Sociology and Political Science

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