View in EDS HTML Full Text PDF Full Text

Comparing NIRA and Traditional Network Approaches: A Study Case With Antisocial Personality Disorder Traits.

Saved in:
Bibliographic Details
Title: Comparing NIRA and Traditional Network Approaches: A Study Case With Antisocial Personality Disorder Traits.
Authors: Machado, Gisele Magarotto (AUTHOR), Skjeldal, Knut Erik (AUTHOR), Grønnerød, Cato (AUTHOR), de Carvalho, Lucas de Francisco (AUTHOR)
Source: Journal of Personality. Dec2025, Vol. 93 Issue 6, p1246-1257. 12p.
Subjects: Antisocial personality disorders, Deception, Communication network analysis, Treatment effectiveness, Pathological psychology, Personality questionnaires
Abstract: Objective: This study explores the NodeIdentifyR algorithm (NIRA) as a novel network analysis method for examining Antisocial Personality Disorder (ASPD) traits. Methods: Using a sample of 2230 Brazilian adults (aged 18–73 years) who responded to ASPD‐related factors of the Personality Inventory for DSM‐5 (PID‐5), we applied NIRA to an ASPD network and compared its results with traditional network analysis methods. Results: Our findings revealed that deceitfulness emerged as the most central trait across both methodologies. NIRA provided additional insights, indicating that simulated decreases in the likelihood of irresponsibility reduced the presence of other traits, while a simulated increase in deceitfulness amplified the likelihood of other ASPD pathological traits. Conclusions: Our results suggest that traditional network centrality measures converge with NIRA's simulated increase results, but NIRA's simulated decrease provides additional information not captured by traditional centrality estimates. We recommend further research to validate these findings across different psychopathologies and refine NIRA use in clinical settings. The insights from this study could serve as a foundation for developing targeted interventions and enhancing our understanding of ASPD trait dynamics. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Personality is the property of Wiley-Blackwell 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.)
Database: Psychology and Behavioral Sciences Collection
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: pbh
DbLabel: Psychology and Behavioral Sciences Collection
An: 189189477
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Comparing NIRA and Traditional Network Approaches: A Study Case With Antisocial Personality Disorder Traits.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Machado%2C+Gisele+Magarotto%22">Machado, Gisele Magarotto</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Skjeldal%2C+Knut+Erik%22">Skjeldal, Knut Erik</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Grønnerød%2C+Cato%22">Grønnerød, Cato</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22de+Carvalho%2C+Lucas+de+Francisco%22">de Carvalho, Lucas de Francisco</searchLink> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Journal+of+Personality%22">Journal of Personality</searchLink>. Dec2025, Vol. 93 Issue 6, p1246-1257. 12p.
– Name: Subject
  Label: Subjects
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Antisocial+personality+disorders%22">Antisocial personality disorders</searchLink><br /><searchLink fieldCode="DE" term="%22Deception%22">Deception</searchLink><br /><searchLink fieldCode="DE" term="%22Communication+network+analysis%22">Communication network analysis</searchLink><br /><searchLink fieldCode="DE" term="%22Treatment+effectiveness%22">Treatment effectiveness</searchLink><br /><searchLink fieldCode="DE" term="%22Pathological+psychology%22">Pathological psychology</searchLink><br /><searchLink fieldCode="DE" term="%22Personality+questionnaires%22">Personality questionnaires</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: Objective: This study explores the NodeIdentifyR algorithm (NIRA) as a novel network analysis method for examining Antisocial Personality Disorder (ASPD) traits. Methods: Using a sample of 2230 Brazilian adults (aged 18–73 years) who responded to ASPD‐related factors of the Personality Inventory for DSM‐5 (PID‐5), we applied NIRA to an ASPD network and compared its results with traditional network analysis methods. Results: Our findings revealed that deceitfulness emerged as the most central trait across both methodologies. NIRA provided additional insights, indicating that simulated decreases in the likelihood of irresponsibility reduced the presence of other traits, while a simulated increase in deceitfulness amplified the likelihood of other ASPD pathological traits. Conclusions: Our results suggest that traditional network centrality measures converge with NIRA's simulated increase results, but NIRA's simulated decrease provides additional information not captured by traditional centrality estimates. We recommend further research to validate these findings across different psychopathologies and refine NIRA use in clinical settings. The insights from this study could serve as a foundation for developing targeted interventions and enhancing our understanding of ASPD trait dynamics. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Personality is the property of Wiley-Blackwell 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.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=pbh&AN=189189477
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1111/jopy.13005
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 12
        StartPage: 1246
    Subjects:
      – SubjectFull: Antisocial personality disorders
        Type: general
      – SubjectFull: Deception
        Type: general
      – SubjectFull: Communication network analysis
        Type: general
      – SubjectFull: Treatment effectiveness
        Type: general
      – SubjectFull: Pathological psychology
        Type: general
      – SubjectFull: Personality questionnaires
        Type: general
    Titles:
      – TitleFull: Comparing NIRA and Traditional Network Approaches: A Study Case With Antisocial Personality Disorder Traits.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Machado, Gisele Magarotto
      – PersonEntity:
          Name:
            NameFull: Skjeldal, Knut Erik
      – PersonEntity:
          Name:
            NameFull: Grønnerød, Cato
      – PersonEntity:
          Name:
            NameFull: de Carvalho, Lucas de Francisco
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2025
              Type: published
              Y: 2025
          Identifiers:
            – Type: issn-print
              Value: 00223506
          Numbering:
            – Type: volume
              Value: 93
            – Type: issue
              Value: 6
          Titles:
            – TitleFull: Journal of Personality
              Type: main
ResultId 1