Validity of a web-based measure of borderline personality disorder: A preliminary study

Hong Wang Fung, Chitat Larry Chan, Cheng Yang Lee, Ka Man Yau, Hei Man Chung, Colin A. Ross

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)


Purpose: Early identification of borderline personality disorder (BPD) is important as timely interventions are beneficial and cost-effective. Unrecognized BPD not only results in suffering for individuals and their families, but also leads to considerable social costs. Although web-based measures have the potential to facilitate screening assessment of BPD for research and clinical purposes, little is known about whether the results of web-based measures of BPD are valid. This preliminary study aims to examine the validity of a web-based measure of BPD.
Method: We analyzed data from five independent samples (N = 828 in total).
Results: The web-based BPD measure had a consistent relationship with relevant variables, including trauma exposure, mental well-being, depression, post-traumatic stress, dissociation and psychotic features across samples. It was also strongly correlated with another BPD measure. The web-based BPD measure could discriminate between participants with and without BPD and the discrimination performance was excellent (area under the curve =.853).
Discussion: The initial findings suggest that the web-based BPD measure used in the present study is valid and may be helpful for research and screening purposes, although it should be followed up with a more comprehensive assessment in clinical settings. Implications are discussed. Given the limitations in this study, further studies are needed.
Original languageEnglish
Pages (from-to)443-456
Number of pages14
JournalJournal of Evidence-Based Social Work
Issue number4
Publication statusPublished - 3 Jul 2020


  • Borderline personality disorder
  • information and communication technology
  • mental health
  • online assessment
  • validation

ASJC Scopus subject areas

  • Health(social science)
  • Sociology and Political Science
  • Social Psychology


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