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Reliability and Validity Adaptation of the Hospital Safety Climate Scale
Yildirim O., Khaustova V. Y., Ilyash O. I.

Yildirim, Osman., Khaustova, Viktoriia Ye., and Ilyash, Olha I. (2023) “Reliability and Validity Adaptation of the Hospital Safety Climate Scale.” The Problems of Economy 4:207–216.
https://doi.org/10.32983/2222-0712-2023-4-207-216

Section: Social economy, policy and demography

Article is written in English
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UDC 616.721-002

Abstract:
Healthcare organisations take many precautions to ensure the safety of patients, the workplace and hospital staff, both because of health and safety legislation and to provide a quality service. Therefore, hospital safety climate scales are used to obtain important information. Aim: The aim of this study is based on Gershon, Karkashian, Grosch et al. (2000), and Smith, Zhao, Wang, Ho (2013) to adapt the reliability and validity of the 20-statement hospital safety climate scale. Method: The survey method was used in the research, and 401 students studying in health departments of 3 different foundation universities in Istanbul-Turkey were reached. SPSS for Windows 22.00 and AMOS 22.0 programs were used to analyse the data, confirmatory factor analysis of the scale was performed in AMOS program and Cronbach’s alpha values were calculated. In addition, AVE and CR values were calculated based on the size after confirmatory factor analysis. Results: In this study, four-stage CFA was applied to adjust the reliability and validity of the hospital safety climate scale. According to the statistical analyses applied, the fit values of the confirmatory factor analysis model found with the modifications in the fourth stage of the scale were within the limits of agreement, and finally 7 items of the 20-item scale were eliminated and a new structure consisting of four dimensions and 13 items was obtained. Results: It is considered that the hospital safety climate scale can be used in hospitals in Turkey, as its original dimensions are preserved in its structure consisting of 13 items obtained in the fourth stage.

Keywords: Factor Analysis, Validity, Reliability, Safety Climate Scale.

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Yildirim Osman – Professor, Professor, Istanbul Aydin University (38 Inenu Str., Besel, Kucukcekmece, Istanbul, 34295, Turkey)
Email: osmanyildirim@arel.edu.tr
Khaustova Viktoriia Ye. – Doctor of Sciences (Economics), Professor, Director, Research Centre for Industrial Problems of Development of NAS of Ukraine (2 floor 1-a Inzhenernyi Ln., Kharkіv, 61166, Ukraine)
Email: v.khaust@gmail.com
Ilyash Olha I. – Doctor of Sciences (Economics), Professor, Professor, Department of Economic Cybernetics, National Technical University of Ukraine «Igor Sikorsky Kyiv Polytechnic Institute» (37 Beresteiskyi Ave., Kyiv, 03056, Ukraine)
Email: oliai@meta.ua

List of references in article

Bentler P. M., Bonett D. G. Significance tests and goodness of fit in the analysis of cova riance structures. Psychological Bulletin. 1980. Vol. 88 (3). Р. 588. DOI: 10.1037/0033-2909.88.3.588
Byrne B. M. Structural equation modeling with AMOS Basic concepts, applications, and program ming (Multivariate Applications Series), Routledge, New York, 2011.
Cronbach L. J. Essentials of psychological testing (3rd ed.). New York : Harper & Row, 1970.
Dirik H. F., Intepeler S.S., Hewison A. Adaptation of the Safety Climate Survey: A Contribution to Improving Patient Safety. Journal of Nursing Management. Wiley, 2023. 715960. DOI: 10.1155/2023/3715960
Fornell C., Larcker D. F. Structural equation models with unobservable variables and measurement error: Algebra and statistics, 1981.
Gershon R. R., Karkashian C. D., Grosch J. W. et al. Hospital safety climate and its relationship with safe work practices and workplace exposure incidents. American Journal of Infection Control. 2000. Vol. 28. Р. 211–221. DOI: 10.1067/mic.2000.105288
Hair J. F. J., Black W. C., Babin B. J., Anderson R. E. Multivariate Data Analysis. Seventh Edition. Prentice Hall, 2010.
Joreskog K. G., Sorbom D. LISREL 8: Structural equation modeling with the SIMPLIS com mand language. Scientific Software International. Mooresville, IL., 1993.
Kenny D. A., McCoach D. B. Effect of the number of variables on measures of fit in structural equation modeling. Structural Equation Modeling. 2023. Vol. 10 (3). Р. 333–351. DOI: 10.1207/S15328007SEM1003_1
Maiti S. S., Mukherjee B. N. Two new good ness?of?fit indices for covariance matrices with linear structures. British Journal of Mathematical and Sta tistical Psychology. 1991. Vol. 44 (1). Р. 153–180. DOI: 10.1111/j.2044-8317.1991.tb00953.x
Mearns K., Whitaker S. M., Flin R. Safety climate, safety management practice and safety performance in offshore environments. Safety science. 2003. Vol. 41 (8). Р. 641–680. DOI: 10.1016/S0925-7535(02)00011-5
Neal A., Griffin M. A., Hart P. M. The impact of organizational climate on safety climate and individual behavior. Safety science. 2000. Vol. 34 (1–3). Р. 99–109.DOI: 10.1016/S0925-7535(00)00008-4
Raykov T. Coefficient alpha and composite reliability with interrelated nonhomogeneous items. Applied psychological measurement. 1998. Vol. 22 (4). Р. 375–385. DOI: 10.1177/014662169802200407
Rigdon E. E. CFI versus RMSEA: A comparison of two fit indexes for structural equation modeling. Structural Equation Modeling: A Multidisciplinary Journal. 1996. Vol. 3 (4). Р. 369–379. DOI: 10.1080/10705519609540052
Schermelleh-Engel K., Moosbrugger H., Muller H. Evaluating the ft of structural equation models: tests of signifcance and descriptive goodness-of-ft measures. Methods of Psychological Research Online. 2003. Vol. 8 (2). Р. 23–74.
Schumacker R. E., Beyerlein S. T. Confirmatory factor analysis with different correlation types and estimation methods. Structural Equation Modeling. 2000. Vol. 7 (4). Р. 629–636. DOI: 10.1207/S15328007SEM0704_6
Smith D. R., Zhao I., Wang L., Ho A. Dimensions and reliability of a hospital safety climate questionnaire in Chinese health-care practice. International Journal of Nursing Practice. 2013. Vol. 19. Р. 156–166. DOI: 10.1111/ijn.12046
Stricoff R. S. Safety peformance measurement: Identifying prospective indicators with high validity. Professional Safety. 2000. Vol. 45 (1). Р. 36.
Suhr D. D. Exploratory or confirmatory factor analysis? Cary : SAS Institute, 2006. Р. 1–17.
Tabachnick B. G., Fidell L. S. Using Multi variate Statistics. Pearson, Boston, 2007.
Velicer W. F., Jackson D. N. Component analysis versus common factor analysis: Some is sues in selecting an appropriate procedure. Multi variate behavioral research. 1990. Vol. 25 (1). Р. 1–28. DOI: 10.1207/s15327906mbr2501_1
Zohar D. Safety climate in industrial organizations: theoretical and applied implications. Journal of applied psychology. 1980. Vol. 65 (1). Р. 96. DOI: 10.1037/0021-9010.65.1.96

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