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      Psychometric properties and factor structure of the Vietnamese Copenhagen Burnout Inventory

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          Abstract

          Objectives

          This article examines the validity and reliability of the Vietnamese version of the Copenhagen Burnout Inventory (CBI‐V) among hospital nurses in Vietnam in 2022.

          Methods

          This article examined data from 587 nurses in two city hospitals in Vietnam in 2022. The reliability was determined via internal consistency (Cronbach's alpha coefficient) and test–retest reliability (Intraclass correlation coefficient). Factorial and construct validity of CBI‐V were explored with confirmation factor analysis (CFA), exploratory factor analysis (EFA), and correlations with other mental health outcomes (measured by the depression, anxiety, and stress scale), job performance (Work Health Performance Questionnaires), work engagement (Utrecht work engagement), and quality of life (EQ‐5D‐5L). Statistical analyses were performed using SPSS 20.0 and AMOS 20.0.

          Results

          Cronbach's alpha coefficients of CBI‐V's three subscales showed good internal consistency (from 0.87 to 0.91). CFA showed a good fit of the three‐factor model with the current data. EFA results showed that all items were loaded in accordance with the CBI's original three constructs, excluding work burnout item 7, forming the fourth factor with a single item. All of CBI‐V's three subscales correlated with other constructs in expected directions.

          Conclusion

          The CBI‐V showed good validity and reliability among hospital nurses. It can be a reliable tool to measure burnout among nurses in a low‐ and middle‐income country in Vietnam during such a crisis as COVID‐19. Future studies should examine the construct of the Copenhagen Burnout Inventory in different occupation groups.

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          Most cited references40

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          A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research.

          Intraclass correlation coefficient (ICC) is a widely used reliability index in test-retest, intrarater, and interrater reliability analyses. This article introduces the basic concept of ICC in the content of reliability analysis.
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            The structure of negative emotional states: Comparison of the Depression Anxiety Stress Scales (DASS) with the Beck Depression and Anxiety Inventories

            The psychometric properties of the Depression Anxiety Stress Scales (DASS) were evaluated in a normal sample of N = 717 who were also administered the Beck Depression Inventory (BDI) and the Beck Anxiety Inventory (BAI). The DASS was shown to possess satisfactory psychometric properties, and the factor structure was substantiated both by exploratory and confirmatory factor analysis. In comparison to the BDI and BAI, the DASS scales showed greater separation in factor loadings. The DASS Anxiety scale correlated 0.81 with the BAI, and the DASS Depression scale correlated 0.74 with the BDI. Factor analyses suggested that the BDI differs from the DASS Depression scale primarily in that the BDI includes items such as weight loss, insomnia, somatic preoccupation and irritability, which fail to discriminate between depression and other affective states. The factor structure of the combined BDI and BAI items was virtually identical to that reported by Beck for a sample of diagnosed depressed and anxious patients, supporting the view that these clinical states are more severe expressions of the same states that may be discerned in normals. Implications of the results for the conceptualisation of depression, anxiety and tension/stress are considered, and the utility of the DASS scales in discriminating between these constructs is discussed.
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              Comparative fit indexes in structural models.

              P. Bentler (1990)
              Normed and nonnormed fit indexes are frequently used as adjuncts to chi-square statistics for evaluating the fit of a structural model. A drawback of existing indexes is that they estimate no known population parameters. A new coefficient is proposed to summarize the relative reduction in the noncentrality parameters of two nested models. Two estimators of the coefficient yield new normed (CFI) and nonnormed (FI) fit indexes. CFI avoids the underestimation of fit often noted in small samples for Bentler and Bonett's (1980) normed fit index (NFI). FI is a linear function of Bentler and Bonett's non-normed fit index (NNFI) that avoids the extreme underestimation and overestimation often found in NNFI. Asymptotically, CFI, FI, NFI, and a new index developed by Bollen are equivalent measures of comparative fit, whereas NNFI measures relative fit by comparing noncentrality per degree of freedom. All of the indexes are generalized to permit use of Wald and Lagrange multiplier statistics. An example illustrates the behavior of these indexes under conditions of correct specification and misspecification. The new fit indexes perform very well at all sample sizes.
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                Author and article information

                Contributors
                nkawakami@m.u-tokyo.ac.jp
                Journal
                J Occup Health
                J Occup Health
                10.1002/(ISSN)1348-9585
                JOH2
                Journal of Occupational Health
                John Wiley and Sons Inc. (Hoboken )
                1341-9145
                1348-9585
                29 September 2023
                Jan-Dec 2023
                : 65
                : 1 ( doiID: 10.1111/joh2.v65.1 )
                : e12425
                Affiliations
                [ 1 ] Faculty of Environmental and Occupational Health Hanoi University of Public Health Hanoi Vietnam
                [ 2 ] Faculty of Social Sciences‐Behavior Hanoi University of Public Health Hanoi Vietnam
                [ 3 ] Faculty of Public Health Mahidol University Bangkok Thailand
                [ 4 ] Department of Digital Mental Health, Graduate School of Medicine The University of Tokyo Tokyo Japan
                Author notes
                [*] [* ] Correspondence

                Norito Kawakami, Department of Digital Mental Health, Graduate School of Medicine, The University of Tokyo, 7‐3‐1, Hongo, Bunkyo‐ku, Tokyo, 113‐8655, Japan.

                Email: nkawakami@ 123456m.u-tokyo.ac.jp

                Author information
                https://orcid.org/0000-0002-2758-7695
                https://orcid.org/0000-0003-1080-2720
                Article
                JOH212425 JOH-2023-0221-OA.R1
                10.1002/1348-9585.12425
                10541492
                37775980
                e21f717f-e901-4840-8a31-f1d4269191b1
                © 2023 The Authors. Journal of Occupational Health published by John Wiley & Sons Australia, Ltd on behalf of The Japan Society for Occupational Health.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.

                History
                : 01 August 2023
                : 07 June 2023
                : 04 September 2023
                Page count
                Figures: 1, Tables: 8, Pages: 13, Words: 6082
                Funding
                Funded by: Japan Society for the Promotion of Science (JSPS) , doi 10.13039/501100001691;
                Award ID: 20KK0215
                Categories
                Original Article
                Original Articles
                Custom metadata
                2.0
                January/December 2023
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.3.4 mode:remove_FC converted:30.09.2023

                copenhagen burnout inventory,nurses,psychometric properties,reliability,validity,vietnam

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