JOURNAL ARTICLE

The Role of Diagnostic Models in Prejudice Toward People With Borderline Personality Disorder: An Experimental Investigation.

  • Published In: Journal of Personality Disorders, 2024, v. 38, n. 5. P. 415 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wai, Nicholas; Bizumic, Boris; Monaghan, Conal; Sheppard, Hannah; Greenwood, Lisa-Marie 3 of 3

Abstract

We tested whether dimensional personality disorder models such as the Alternative Model for Personality Disorders (AMPD) cause less prejudice toward people with borderline personality disorder (BPD) than categorical models, and we sought to identify the mechanisms underpinning this reduction in prejudice. Undergraduate psychology students (n = 183) were randomly assigned to one of three conditions (AMPD, categorical, control) and given descriptive information about BPD. Participants in the AMPD and categorical conditions also received a presentation about their respective BPD diagnostic criteria. Students in all conditions then completed a survey assessing their prejudice toward people with BPD. There was no difference between conditions on overall prejudice toward people with BPD. However, the AMPD increased continuum beliefs and decreased categorical beliefs, and these, in turn, affected perceptions of people with BPD as ingroup members, which indirectly reduced prejudice. We have identified pathways through which the AMPD indirectly reduces prejudice toward people with BPD. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Journal of Personality Disorders. 2024/10, Vol. 38, Issue 5, p415
  • Document Type:Article
  • Subject Area:Psychology
  • Publication Date:2024
  • ISSN:0885-579X
  • DOI:10.1521/pedi.2024.38.5.415
  • Accession Number:180387120
  • Copyright Statement:Copyright of Journal of Personality Disorders is the property of Guilford Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Looking to go deeper into this topic? Look for more articles on EBSCOhost.