Evaluation of the SCL-9S, a short version of the symptom checklist-90-R, on psychiatric patients in Sweden by using Rasch analysis-Reference-Cited by-同舟云学术

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Evaluation of the SCL-9S, a short version of the symptom checklist-90-R, on psychiatric patients in Sweden by using Rasch analysis

Published:2021-03-29 Issue:7 Volume:75 Page:538-546
ISSN:0803-9488
Container-title:Nordic Journal of Psychiatry
language:en
Short-container-title:Nordic Journal of Psychiatry

Author:

Lundqvist Lars-Olov¹^ORCID,Schröder Agneta¹²^ORCID

Affiliation:

1. Faculty of Medicine and Health, University Health Care Research Center, Örebro University, Örebro, Sweden

2. Faculty of Medicine and Health Sciences, Department of Health Sciences in Gjøvik, Norwegian University of Science and Technology , Gjøvik, Norway

Funder

the Fund for Rehabilitation and Medical Research

the Region Örebro County Research Committee

Publisher

Informa UK Limited

Subject

Psychiatry and Mental health

Link

https://www.tandfonline.com/doi/pdf/10.1080/08039488.2021.1901988

Reference34 articles.

1. The effect of psychological distress on health outcomes: A systematic review and meta-analysis of prospective studies

2. Unidimensionality of SCL-90-R scales in adult and adolescent crisis samples

3. The Dutch Symptom Checklist-90-Revised

4. Bifactor structural model of symptom checklists: SCL-90-R and Brief Symptom Inventory (BSI) in a non-clinical community sample

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Exploratory rasch analysis of a static-99R clinical cohort assessment;PLOS ONE;2024-07-18

2. Influence of mental health service provision on the perceived quality of life among psychiatric outpatients: associations and mediating factors;Frontiers in Psychiatry;2024-01-16

3. Russian-language Adaptation of the Symptom Checklist-K-9;SIBIRSKIY PSIKHOL ZH;2023

4. An examination of distress tolerance, anxiety sensitivity, and intolerance of uncertainty in adults in routine psychiatric care;Acta Psychologica;2023-05

5. An AI-based Decision Support System for Predicting Mental Health Disorders;Information Systems Frontiers;2022-05-28

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