Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Higher-Order Factor Analysis of the Swedish Version of the Personality Inventory for DSM-5
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Social Sciences, Department of Statistics.
2018 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

The Personality Inventory for DSM-5 (PID-5) is an emerging measure used to map pathological personality traits. In this thesis, the reliability and facet structure of the Swedish version of the PID-5 is evaluated. Further, the possible occurrence of higher-order factors of the pathological personality traits is explored. Using a sample of 275 observations, the facet structure and higher-order factors are investigated using structural equation modeling (SEM). Results show that the internal consistency, measured with Cronbach's alpha, is strong for the facets and adequate for the domains from the PID-5. The theorized facet structure could not be confirmed for the Swedish version of the PID-5. Treating the five domains as observed variables, support for a general factor of psychopathology and indications of the two factors internalizing and externalizing are found.

Place, publisher, year, edition, pages
2018. , p. 39
Keywords [en]
PID-5, pathological personality traits, internal consistency, facet structure, general factor of psychopathology, structural equation modeling
National Category
Probability Theory and Statistics
Identifiers
URN: urn:nbn:se:uu:diva-353164OAI: oai:DiVA.org:uu-353164DiVA, id: diva2:1216335
Subject / course
Statistics
Educational program
Master Programme in Statistics
Supervisors
Examiners
Available from: 2018-06-28 Created: 2018-06-11 Last updated: 2018-06-28Bibliographically approved

Open Access in DiVA

fulltext(394 kB)11 downloads
File information
File name FULLTEXT01.pdfFile size 394 kBChecksum SHA-512
44d73ba397c5475e1887180b5d0205f0d91eb566d63e9d1c9e8b0ccbc7246bafe3d25596a91a39cc8a7d3c9e389035011c40fc18f1e7b92425c08b3ebacc8975
Type fulltextMimetype application/pdf

By organisation
Department of Statistics
Probability Theory and Statistics

Search outside of DiVA

GoogleGoogle Scholar
Total: 11 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 16 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf