Realism and Uncertainty of Unobservable Common Causes in Factor Analysis.

Famously, scientific theories are underdetermined by their evidence. This occurs in the factor analytic model (FA), which is often used to connect concrete data (e.g. test scores) to hypothetical notions (e.g. intelligence). After introducing FA, three general topics are addressed. (i) Underdetermin...

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Publicado en:Nous (0029-4624) Vol. 50; no. 2; pp. 329 - 356
Autor principal: Johnson, Kent
Formato: Artículo
Publicado: Wiley-Blackwell Jun2016
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Realism and Uncertainty of Unobservable Common Causes in Factor Analysis.
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        au: Johnson, Kent
        affil: Department of Logic and Philosophy of Science , UC Irvine
      su:
        Realism
        Conceptualism
        Uncertainty
        Reasoning
        Skepticism
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          Realism
          Conceptualism
          Uncertainty
          Reasoning
          Skepticism
      ab: Famously, scientific theories are underdetermined by their evidence. This occurs in the factor analytic model (FA), which is often used to connect concrete data (e.g. test scores) to hypothetical notions (e.g. intelligence). After introducing FA, three general topics are addressed. (i) Underdetermination: the precise reasons why FA is underdetermined illuminates various claims about underdetermination, abduction, and theoretical terms. (ii) Uncertainties: FA helps distinguish at least four kinds of uncertainties. The prevailing practice, often encoded in statistical software, is to ignore the most difficult kinds, which are essential to FA's underdetermination. (iii) What to do: some suggestions for dealing with these hardest types of uncertainty are offered.
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    language: English
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