Research Questions

Primary research question

Does augmenting validated psychopathology questionnaires with person-specific perceived causal relations provide information that is incremental to conventional questionnaire scores and item profiles?

Core domains

Feasibility and burden

  • Can the augmentation be completed quickly enough for online assessment?
  • How many nodes can be assessed without excessive burden?
  • What proportion of participants can generate an interpretable network?

Reliability

  • How stable is the selection of relevant items?
  • How stable are individual causal ratings?
  • Are global network characteristics more stable than individual edges?

Person specificity

  • To what extent do participants with highly similar questionnaire profiles nevertheless report different causal structures?
  • Which aspects of network structure show the greatest between-person heterogeneity?

See Analysis/Same Symptoms Different Networks.

Incremental validity

Does PCN information explain or predict relevant outcomes beyond:

  • total or subscale scores,
  • baseline outcome levels,
  • symptom breadth,
  • selected-item severity,
  • and, where feasible, the complete item profile?

Representativeness

  • How well do participants feel represented by their network?
  • Which network properties are associated with perceived representativeness?
  • Does participant refinement improve representativeness?

Clinical and subjective utility

  • Does network feedback increase problem understanding or coherence?
  • Does it increase perceived personalization?
  • Does it increase perceived control, insight, motivation, or treatment relevance?

Generalizability

  • Do the same network-derived indicators show value across different questionnaires?
  • Can a common augmentation framework be applied across symptom domains and age groups?

Candidate confirmatory question

A strong confirmatory test would compare a base model containing conventional questionnaire information with an augmented model that additionally contains prespecified PCN features.

See Validation Framework.