Switch to: References

Add citations

You must login to add citations.
  1. Comorbidity: A network perspective.Angélique Oj Cramer, Lourens J. Waldorp, Han Lj van der Maas & Denny Borsboom - 2010 - Behavioral and Brain Sciences 33 (2-3):137-150.
    The pivotal problem of comorbidity research lies in the psychometric foundation it rests on, that is, latent variable theory, in which a mental disorder is viewed as a latent variable that causes a constellation of symptoms. From this perspective, comorbidity is a (bi)directional relationship between multiple latent variables. We argue that such a latent variable perspective encounters serious problems in the study of comorbidity, and offer a radically different conceptualization in terms of a network approach, where comorbidity is hypothesized to (...)
    Download  
     
    Export citation  
     
    Bookmark   33 citations  
  • Operationalism and realism in psychometrics.Elina Vessonen - 2019 - Philosophy Compass 14 (10):e12624.
    Psychometrics is one of the main approaches to social scientific measurement. It is relied upon in drug testing, economic policymaking, recruitment, and other decision-making contexts. The first aim of this article is to introduce philosophers to key aspects of psychometrics, namely, classical test theory, item response theory, and construct validity. The second aim is to show how a debate on the nature of psychological attributes manifests in psychometrics. In this debate, realists claim that psychometric measures are indicators of independently existing (...)
    Download  
     
    Export citation  
     
    Bookmark   4 citations  
  • Network models of psychopathology and comorbidity: Philosophical and pragmatic considerations.S. Brian Hood & Benjamin J. Lovett - 2010 - Behavioral and Brain Sciences 33 (2-3):159-160.
    Cramer et al.'s account of comorbidity comes with a substantive philosophical view concerning the nature of psychological disorders. Although the network account is responsive to problems with extant approaches, it faces several practical and conceptual challenges of its own, especially in cases where the individual differences in network structures require the analysis of intra-individual time-series data.
    Download  
     
    Export citation  
     
    Bookmark   1 citation