Personality Inventory for DSM-5 (PID-5) in Clinical Versus Nonclinical Individuals: Generalizability of Psychometric Features

Research output: Contribution to journal › Journal article › Research › peer-review

Standard

Personality Inventory for DSM-5 (PID-5) in Clinical Versus Nonclinical Individuals : Generalizability of Psychometric Features. / Bach, Bo; Sellbom, Martin; Simonsen, Erik.

In: Assessment, Vol. 25, No. 7, 2018, p. 815-825.

Research output: Contribution to journal › Journal article › Research › peer-review

Harvard

Bach, B, Sellbom, M & Simonsen, E 2018, 'Personality Inventory for DSM-5 (PID-5) in Clinical Versus Nonclinical Individuals: Generalizability of Psychometric Features', Assessment, vol. 25, no. 7, pp. 815-825. https://doi.org/10.1177/1073191117709070

APA

Bach, B., Sellbom, M., & Simonsen, E. (2018). Personality Inventory for DSM-5 (PID-5) in Clinical Versus Nonclinical Individuals: Generalizability of Psychometric Features. Assessment, 25(7), 815-825. https://doi.org/10.1177/1073191117709070

Vancouver

Bach B, Sellbom M, Simonsen E. Personality Inventory for DSM-5 (PID-5) in Clinical Versus Nonclinical Individuals: Generalizability of Psychometric Features. Assessment. 2018;25(7):815-825. https://doi.org/10.1177/1073191117709070

Author

Bach, Bo ; Sellbom, Martin ; Simonsen, Erik. / Personality Inventory for DSM-5 (PID-5) in Clinical Versus Nonclinical Individuals : Generalizability of Psychometric Features. In: Assessment. 2018 ; Vol. 25, No. 7. pp. 815-825.

Bibtex

@article{6c97660bdb1c4e9f911f471e6da92265,
title = "Personality Inventory for DSM-5 (PID-5) in Clinical Versus Nonclinical Individuals: Generalizability of Psychometric Features",
abstract = "The Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PID-5) was developed for the assessment of pathological traits in clinical settings. However, most research on the PID-5 is derived from nonclinical samples. To date, the comparability and generalizability of PID-5 constructs across nonclinical and clinical samples have not been adequately investigated. Therefore, we investigated the measurement invariance, five-factor structure, and factor correlations across clinical and nonclinical samples. The clinical sample ( n = 598) comprised patients with nonpsychotic disorders (81% women; mean age = 28.95), whereas a matched nonclinical sample ( n = 598) comprised community-dwelling individuals (81% women; mean age = 29.59). Measurement invariance was analyzed using a 13-step, two-group exploratory structural equation modeling approach. The results demonstrated acceptable psychometric properties for both samples and supported strong measurement invariance across the groups at the domain level.",
keywords = "Journal Article",
author = "Bo Bach and Martin Sellbom and Erik Simonsen",
year = "2018",
doi = "10.1177/1073191117709070",
language = "English",
volume = "25",
pages = "815--825",
journal = "Assessment",
issn = "1073-1911",
publisher = "SAGE Publications",
number = "7",

}

RIS

TY - JOUR

T1 - Personality Inventory for DSM-5 (PID-5) in Clinical Versus Nonclinical Individuals

T2 - Generalizability of Psychometric Features

AU - Bach, Bo

AU - Sellbom, Martin

AU - Simonsen, Erik

PY - 2018

Y1 - 2018

N2 - The Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PID-5) was developed for the assessment of pathological traits in clinical settings. However, most research on the PID-5 is derived from nonclinical samples. To date, the comparability and generalizability of PID-5 constructs across nonclinical and clinical samples have not been adequately investigated. Therefore, we investigated the measurement invariance, five-factor structure, and factor correlations across clinical and nonclinical samples. The clinical sample ( n = 598) comprised patients with nonpsychotic disorders (81% women; mean age = 28.95), whereas a matched nonclinical sample ( n = 598) comprised community-dwelling individuals (81% women; mean age = 29.59). Measurement invariance was analyzed using a 13-step, two-group exploratory structural equation modeling approach. The results demonstrated acceptable psychometric properties for both samples and supported strong measurement invariance across the groups at the domain level.

AB - The Personality Inventory for Diagnostic and Statistical Manual of Mental Disorders-Fifth Edition (PID-5) was developed for the assessment of pathological traits in clinical settings. However, most research on the PID-5 is derived from nonclinical samples. To date, the comparability and generalizability of PID-5 constructs across nonclinical and clinical samples have not been adequately investigated. Therefore, we investigated the measurement invariance, five-factor structure, and factor correlations across clinical and nonclinical samples. The clinical sample ( n = 598) comprised patients with nonpsychotic disorders (81% women; mean age = 28.95), whereas a matched nonclinical sample ( n = 598) comprised community-dwelling individuals (81% women; mean age = 29.59). Measurement invariance was analyzed using a 13-step, two-group exploratory structural equation modeling approach. The results demonstrated acceptable psychometric properties for both samples and supported strong measurement invariance across the groups at the domain level.

KW - Journal Article

U2 - 10.1177/1073191117709070

DO - 10.1177/1073191117709070

M3 - Journal article

C2 - 28503935

VL - 25

SP - 815

EP - 825

JO - Assessment

JF - Assessment

SN - 1073-1911

IS - 7

ER -

ID: 186479778