The Complementarity of Psychometrics and the Representational Theory of Measurement.

Psychometrics and the representational theory of measurement (RTM) are widely used in social scientific measurement. They are currently pursued largely in isolation from one another. I argue that despite their separation in practice, RTM and psychometrics are complementary approaches, because they c...

Descripción completa

Detalles Bibliográficos
Publicado en:British Journal for the Philosophy of Science Vol. 71; no. 2; pp. 415 - 443
Autor principal: Vessonen, Elina
Formato: Artículo
Publicado: University of Chicago Press Jun2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=143100248&site=ehost-live
header:
  @attributes:
    shortDbName: hlh
    uiTerm: 143100248
    longDbName: Humanities International Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    jinfo:
      jid:
        00070882
        BPL
      jtl: British Journal for the Philosophy of Science
      issn: 00070882
      maglogo: N
    pubinfo:
      dt: Jun2020
      vid: 71
      iid: 2
      pid: 415
      pub: University of Chicago Press
    artinfo:
      ui:
        143100248
        10.1093/bjps/axy032
      ppf: 415
      ppct: 28
      formats:
      tig:
        atl: The Complementarity of Psychometrics and the Representational Theory of Measurement.
      aug:
        au: Vessonen, Elina
      su:
        Psychometrics
        Linear complementarity problem
        Rasch models
        Sociometry
        Measurement
      sug:
        subj:
          Psychometrics
          Linear complementarity problem
          Rasch models
          Sociometry
          Measurement
      ab: Psychometrics and the representational theory of measurement (RTM) are widely used in social scientific measurement. They are currently pursued largely in isolation from one another. I argue that despite their separation in practice, RTM and psychometrics are complementary approaches, because they can contribute in complementary ways to the establishment of what I argue is a crucial measurement property, namely, representational interpretability. Because RTM and psychometrics are complementary in the establishment of representational interpretability, the current separation of measurement approaches is unfounded. 1 Introduction 2 Two Approaches to Measurement 2.1 Representational theory of measurement 2.2 Psychometrics 2.3 Representational interpretability 3 Complementarity, Conceptually 3.1 Representational theory of measurement: Conditions of representational interpretability 3.2 Psychometrics: Evidence of representational interpretability 4 Complementarity in Action 4.1 What is the Rasch model? 4.2 Rasch and conjoint measurement 5 Conclusion: Critics and Fruits of Complementarity
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
    refInfo:
    copyright:
      @attributes:
        flag: Y
      dt:
        @attributes:
          year: 2020
    holdings:
      @attributes:
        islocal: N