Dataset yielded by an assessment of personality disorders among young French adults using the Inventory of Personality Organization

Data on personality disorders in young French adults were collected using the validated French version of the Inventory of Personality Organization (IPO-fr). Respondents also completed the Personality Diagnostic Questionnaire-4th Edition (PDQ-4+). The sample comprised 607 students aged 18-26 years enrolled on a variety of courses at Angers University (France). Of these, 170 had a personality disorder according to the PDQ-4+, and their data were used to define IPO cut-off scores for Cluster A, B or C personality disorders. The data are stored in a comma-separated value format that can be easily downloaded from a Mendeley data repository (https://data.mendeley.com/datasets/tv6w6yyfy8/4). The data concerned by this article can be identified at this address under the name "Study 3".

Authors

Institutions

Publication Details

Journal
Data in Brief
Published
2024-08-08
DOI
https://doi.org/10.1016/j.dib.2024.110806
Primary Topic
Personality Disorders and Psychopathology
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dataset yielded by an assessment of personality disorders among young French adults using the Inventory of Personality Organization

Lucas Pithon, Franck Rexand-Galais
Data in Brief
Personality Disorders and Psychopathology
article

Dataset yielded by an assessment of personality disorders among young French adults using the Inventory of Personality Organization

Lucas Pithon, Franck Rexand-Galais
article en

Abstract

Data on personality disorders in young French adults were collected using the validated French version of the Inventory of Personality Organization (IPO-fr). Respondents also completed the Personality Diagnostic Questionnaire-4th Edition (PDQ-4+). The sample comprised 607 students aged 18-26 years enrolled on a variety of courses at Angers University (France). Of these, 170 had a personality disorder according to the PDQ-4+, and their data were used to define IPO cut-off scores for Cluster A, B or C personality disorders. The data are stored in a comma-separated value format that can be easily downloaded from a Mendeley data repository (https://data.mendeley.com/datasets/tv6w6yyfy8/4). The data concerned by this article can be identified at this address under the name "Study 3".

Data in BriefVol. 56
Centre National de la Recherche Scientifique (FR), Espaces et Sociétés (FR), Université d'Angers (FR), Nantes Université (FR)
Universite Angers
Openalex Percentile: Top 82%
Personality Disorders and Psychopathology
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.