Literature DB >> 27039011

Cross-cultural confirmation of bi-factor models of a symptom distress measure: Symptom Checklist-90-Revised in clinical samples.

Róbert Urbán1, Willem A Arrindell2, Zsolt Demetrovics3, Zsolt Unoka4, Reinier Timman5.   

Abstract

Four decades have elapsed since the introduction for clinical and research purposes of the Symptom Checklist-90(-R). Yet, its underlying dimensional structure has not been clearly delineated. A shift has been observed in the methods utilized-from predominantly exploratory factor analytic in nature in the first two decades or so to different confirmatory methods in recent years. A need remains to search for a structure that remains invariant across samples and nations. In that context, the present study attempted to replicate and extend recent findings yielded in a Hungarian general population sample (N=2,874) with two psychiatric patient samples from Hungary (N=972) and The Netherlands (N=1,902). In doing so, four models were contrasted: the one-factor model, Derogatis' nine factor model, a second-ordered factor model, and a bi-factor model. The bi-factor model was shown to yield the closest fit to the data in both countries. Further studies are needed to determine the stable number and kind of subscale scores that reflect the specific (primary) symptoms best, that is, those subscales with minimal shared variance with the overall general psychological distress dimension.
Copyright © 2016 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Bi-factor model; Clinical sample; Confirmatory Factor Analysis; Cross-cultural; Omega hierarchical; Symptom Checklist (SCL-90-R)

Mesh:

Year:  2016        PMID: 27039011     DOI: 10.1016/j.psychres.2016.03.039

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  8 in total

1.  An AI-based Decision Support System for Predicting Mental Health Disorders.

Authors:  Salih Tutun; Marina E Johnson; Abdulaziz Ahmed; Abdullah Albizri; Sedat Irgil; Ilker Yesilkaya; Esma Nur Ucar; Tanalp Sengun; Antoine Harfouche
Journal:  Inf Syst Front       Date:  2022-05-28       Impact factor: 5.261

2.  Relationship between borderline personality symptoms and Internet addiction: The mediating effects of mental health problems.

Authors:  Wei-Hsin Lu; Kun-Hua Lee; Chih-Hung Ko; Ray C Hsiao; Huei-Fan Hu; Cheng-Fang Yen
Journal:  J Behav Addict       Date:  2017-08-29       Impact factor: 6.756

3.  Substance Use and Psychological Disorders Among Art and Non-art University Students: an Empirical Self-Report Survey.

Authors:  Fruzsina Iszáj; Máté Kapitány-Fövény; Judit Farkas; Gyöngyi Kökönyei; Róbert Urbán; Mark D Griffiths; Zsolt Demetrovics
Journal:  Int J Ment Health Addict       Date:  2017-09-27       Impact factor: 3.836

4.  Assessing Mental Health for China's Police: Psychometric Features of the Self-Rating Depression Scale and Symptom Checklist 90-Revised.

Authors:  I-Hua Chen; Chung-Ying Lin; Xia Zheng; Mark D Griffiths
Journal:  Int J Environ Res Public Health       Date:  2020-04-16       Impact factor: 3.390

5.  Factorial validity and invariance of the Patient Health Questionnaire (PHQ)-9 among clinical and non-clinical populations.

Authors:  Satomi Doi; Masaya Ito; Yoshitake Takebayashi; Kumiko Muramatsu; Masaru Horikoshi
Journal:  PLoS One       Date:  2018-07-19       Impact factor: 3.240

6.  Different aspects of impulsivity in chronic alcohol use disorder with and without comorbid problem gambling.

Authors:  Ildikó Kovács; Ildikó Demeter; Zoltán Janka; Zsolt Demetrovics; Aniko Maraz; Bálint Andó
Journal:  PLoS One       Date:  2020-01-30       Impact factor: 3.240

7.  Symptom Checklist-90-Revised: A structural examination in relation to family functioning.

Authors:  Rapson Gomez; Vasileios Stavropoulos; Daniel Zarate; Olympia Palikara
Journal:  PLoS One       Date:  2021-03-12       Impact factor: 3.240

8.  Quantile regression analysis of the association between parental rearing and interpersonal sensitivity in Chinese adolescents.

Authors:  Yafeng Zhang; Wei Tian; Yuqi Xin; Quan Zhou; Guangcan Yan; Jianqiu Zhou; Bin Wang; Yuchun Tao; Lihua Fan; Limin Wang
Journal:  BMC Public Health       Date:  2022-01-11       Impact factor: 3.295

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.