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      Psychometric evaluation of the depression, anxiety, and stress scale-21 (DASS-21) among Chinese primary and middle school teachers

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          Abstract

          Background

          Teachers in high-stress roles face increasing psychological distress such as anxiety and depression, underscoring the need for validated assessment instruments. Given the current absence of a comprehensive, designated, and time-efficient scale capable of evaluating depression, anxiety, and stress among the teacher population, the Depression, Anxiety, and Stress Scale-21 (DASS-21) presents itself as a promising alternative. Despite the widespread application of the DASS-21 for assessing psychological distress across various populations, its validity among teachers, along with questions about its factor structure and its potential property of time equivalence, remain unverified. This study endeavors to address these considerations by investigating the psychometric properties of the DASS-21 specifically within the population of Chinese primary and middle school teachers.

          Methods

          Cross-sectional (n = 9,030) and longitudinal surveys (n = 1,642) were conducted using a non-probability sampling method. In addition to the DASS-21, the Chinese version of Chinese Teachers’ Job Burnout Questionnaire (CTJBO) was utilized to evaluate the criterion validity of this scale. Three different approaches, namely confirmatory factor analysis, Rasch analysis, and network analysis, were employed to evaluate internal reliability, construct validity, as well as time invariance of the DASS-21.

          Results

          The DASS-21 demonstrated a high degree of internal consistency (Cronbach’s α > 0.85) as well as excellent convergent validity, despite poor discriminant validity as determined by average variance extracted. Confirmatory factor analysis and network analysis further supported convergent validity. The three-factor structure outperformed one- and two-factor alternatives, establishing time invariance. Rasch analysis at the item level identified six inappropriate items within the anxiety and stress subscales, which were subsequently removed. Network analysis presented a better revised network. Regression analysis with emotional exhaustion as the criterion provided logical and accurate results.

          Conclusion

          The DASS-21 was found to be a reliable and valid tool for measuring the mental health of teachers over time. To assess the instrument’s psychometric properties, a combination of confirmatory factor analysis, Rasch analysis, and network analysis was utilized, which proved effective and is recommended for evaluating contentious instruments. Based on the results of the study, researchers and healthcare professionals are recommended to use the DASS-21 for assessing teachers’ psychological distress. However, certain items identified in the study may need to be removed to enhance the instrument’s appropriateness for this specific population.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s40359-023-01242-y.

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          Most cited references67

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                Author and article information

                Contributors
                27020@sdwu.edu.cn
                281770596@qq.com
                jiang3737@sina.com
                Lxd_73@163.com
                aholechen@gmail.com
                cylin36933@gmail.com
                Journal
                BMC Psychol
                BMC Psychol
                BMC Psychology
                BioMed Central (London )
                2050-7283
                14 July 2023
                14 July 2023
                2023
                : 11
                : 209
                Affiliations
                [1 ]GRID grid.412638.a, ISNI 0000 0001 0227 8151, Faculty of Education, , Qufu Normal University, ; Qufu, 273165 China
                [2 ]GRID grid.495262.e, ISNI 0000 0004 1777 7369, School of Foreign languages, , Shandong Women’s University, ; Jinan, 250300 China
                [3 ]GRID grid.411864.e, ISNI 0000 0004 1761 3022, Faculty of Education, , Jiangxi Science and Technology Normal University, ; Nanchang, 330031 China
                [4 ]Yangan Primary School of Qionglai City, Qionglai, 611535 China
                [5 ]Gaogeng Nine-year School, Qionglai, 611533 China
                [6 ]GRID grid.412638.a, ISNI 0000 0001 0227 8151, Chinese Academy of Education Big Data, Qufu Normal University, ; Qufu, 273165 China
                [7 ]GRID grid.64523.36, ISNI 0000 0004 0532 3255, Institute of Allied Health Sciences, College of Medicine, , National Cheng Kung University, ; Tainan, 701401 Taiwan, ROC
                [8 ]GRID grid.412040.3, ISNI 0000 0004 0639 0054, Biostatistics Consulting Center, College of Medicine, , National Cheng Kung University Hospital, National Cheng Kung University, ; Tainan, 701401 Taiwan, ROC
                Article
                1242
                10.1186/s40359-023-01242-y
                10349442
                37452365
                ca2d0349-0a33-4463-b4d5-c76bc62b7946
                © The Author(s) 2023

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 30 March 2023
                : 30 June 2023
                Funding
                Funded by: Shandong Province Social Science Planning Research Project, China
                Award ID: 20CWZJ40
                Categories
                Research
                Custom metadata
                © BioMed Central Ltd., part of Springer Nature 2023

                psychometric properties,the dass-21,school teachers,rasch model,network analysis

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