Improving Measurement in Couple and Family Therapy: An Item Response Theory Primer.

The valid and reliable assessment of individual and relational functioning relies on high-quality assessment tools. Most assessments used in the field of couple and family therapy were developed using Classical Test Theory (CTT). An alternate theory for guiding the creation, evaluation, and scoring...

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Publicado en:Journal of Marital & Family Therapy Vol. 46; no. 4; pp. 603 - 620
Autores principales: Anderson, Shayne R., Miller, Richard B.
Formato: journal article
Publicado: Wiley-Blackwell Oct2020
Materias:
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Improving Measurement in Couple and Family Therapy: An Item Response Theory Primer.
      aug:
        au:
          Anderson, Shayne R.
          Miller, Richard B.
        affil: Brigham Young University, Provo USA
      su:
        Item response theory
        Family psychotherapy
        Couples therapy
        Classical test theory
        Measurement
      sug:
        subj:
          Item response theory
          Family psychotherapy
          Couples therapy
          Classical test theory
          Measurement
      ab: The valid and reliable assessment of individual and relational functioning relies on high-quality assessment tools. Most assessments used in the field of couple and family therapy were developed using Classical Test Theory (CTT). An alternate theory for guiding the creation, evaluation, and scoring of assessments is Item Response Theory (IRT). IRT has several advantages over CTT and can be used to improve measurement in the field. For example, the IRT approach creates measures that are significantly more precise, yet uses fewer items, than scales created using CTT. This manuscript provides an overview of how IRT differs from CTT and describes the fundamental concepts and assumptions of IRT. Following this summary, we provide a step-by-step example of how IRT can be used to reduce the length of the Marital Disaffection Scale from 21 to 6 items without losing a significant amount of information about the construct.
      pubtype: Academic Journal
      doctype: journal article
      src: R
    language: English
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