The General Psychopathology 'p' Factor in Adolescence: Multi-Informant Assessment and Computerized Adaptive Testing.

Accumulating evidence supports the presence of a general psychopathology dimension, the p factor ('p'). Despite growing interest in the p factor, questions remain about how p is assessed. Although multi-informant assessment of psychopathology is commonplace in clinical research and practice with chi...

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Publicado en:Research on Child & Adolescent Psychopathology Vol. 52; no. 11; pp. 1753 - 1765
Autores principales: Jones, Jason D., Boyd, Rhonda C., Sandro, Akira Di, Calkins, Monica E., Los Reyes, Andres De, Barzilay, Ran, Young, Jami F., Benton, Tami D., Gur, Ruben C., Moore, Tyler M., Gur, Raquel E.
Formato: Artículo
Publicado: Springer Nature Nov2024
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Acceso en línea:Ver este registro en EBSCOhost
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      dt: Nov2024
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      pub: Springer Nature
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        10.1007/s10802-024-01223-8
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        atl: The General Psychopathology 'p' Factor in Adolescence: Multi-Informant Assessment and Computerized Adaptive Testing.
      aug:
        au:
          Jones, Jason D.
          Boyd, Rhonda C.
          Sandro, Akira Di
          Calkins, Monica E.
          Los Reyes, Andres De
          Barzilay, Ran
          Young, Jami F.
          Benton, Tami D.
          Gur, Ruben C.
          Moore, Tyler M.
          Gur, Raquel E.
        affil:
          https://ror.org/01z7r7q48 Department of Child and Adolescent Psychiatry and Behavioral Sciences, Children's Hospital of Philadelphia, Roberts Center for Pediatric Research, 2716 South Street, PA 19146, Philadelphia, USA
          Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, USA
          https://ror.org/047s2c258 Department of Psychology, University of Maryland, College Park, Maryland, USA
      su:
        Item response theory
        Pathological psychology
        Computer adaptive testing
        Adaptive testing
        Model theory
      sug:
        subj:
          Item response theory
          Pathological psychology
          Computer adaptive testing
          Adaptive testing
          Model theory
      keyword:
        Computerized Adaptive Testing
        Discrepancies
        Multi-informant
        P Factor
        Psychopathology
        Computerized Adaptive Testing
        Discrepancies
        Multi-informant
        P Factor
        Psychopathology
      ab: Accumulating evidence supports the presence of a general psychopathology dimension, the p factor ('p'). Despite growing interest in the p factor, questions remain about how p is assessed. Although multi-informant assessment of psychopathology is commonplace in clinical research and practice with children and adolescents, almost no research has taken a multi-informant approach to studying youth p or has examined the degree of concordance between parent and youth reports. Further, estimating p requires assessment of a large number of symptoms, resulting in high reporter burden that may not be feasible in many clinical and research settings. In the present study, we used bifactor multidimensional item response theory models to estimate parent- and adolescent-reported p in a large community sample of youth (11–17 years) and parents (N = 5,060 dyads). We examined agreement between parent and youth p scores and associations with assessor-rated youth global functioning. We also applied computerized adaptive testing (CAT) simulations to parent and youth reports to determine whether adaptive testing substantially alters agreement on p or associations with youth global functioning. Parent-youth agreement on p was moderate (r =.44) and both reports were negatively associated with youth global functioning. Notably, 7 out of 10 of the highest loading items were common across reporters. CAT reduced the average number of items administered by 57%. Agreement between CAT-derived p scores was similar to the full form (r =.40) and CAT scores were negatively correlated with youth functioning. These novel results highlight the promise and potential clinical utility of a multi-informant p factor approach.
      pubtype: Academic Journal
      doctype: Article
      src: R
    language: English
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