Validation of the Spanish version of the Neal, Griffin and Hart safety behavior scale

References

• United Nations Global Compact & International Labour Organization. Nine business practices for improving safety and health through supply chains and building a culture of prevention and protection [Internet]. New York (NY): UN Global Compact & ILO; 2021 [cited 2022 Jun 26]. Available from: https://ungc-communications-assets.s3.amazonaws.com/docs/publications/OSH%20Brief_FINAL.pdf
   Google Scholar
• International Labour Organization. Statistics on safety and health at work. Geneva: ILO; 2021 [cited 2022 Jun 26]. Available from: https://ilostat.ilo.org/topics/safety-and-health-at-work/
   Google Scholar
• Labor Risk Insurance Office. Estadísticas del Seguro General de Riesgos del Trabajo [Labor risk insurance statistics]. Quito: Ecuadorian Social Security Institute; 2022 [cited 2022 Jun 26]. Spanish. Available from: https://www.iess.gob.ec/es/web/guest/20
   Google Scholar
• Christian MS, Bradley JC, Wallace JC, et al. Workplace safety: a meta-analysis of the roles of person and situation factors. J Appl Psychol. 2009;94(5):1103–1127. doi:10.1037/a0016172
   PubMed Web of Science ®Google Scholar
• He C, McCabe B, Jia G, et al. Effects of safety climate and safety behavior on safety outcomes between supervisors and construction workers. J Constr Eng Manag. 2020;146(1):04019092. doi:10.1061/(ASCE)CO.1943-7862.0001735
   Web of Science ®Google Scholar
• Lyu S, Hon CKH, Chan APC, et al. Relationships among safety climate, safety behavior, and safety outcomes for ethnic minority construction workers. Int J Environ Res Public Health. 2018;15(3):484. doi:10.3390/ijerph15030484
   PubMed Web of Science ®Google Scholar
• Panuwatwanich K, Al-Haadir S, Stewart RA. Influence of safety motivation and climate on safety behaviour and outcomes: evidence from the Saudi Arabian construction industry. Int J Occup Saf Ergon. 2017;23(1):60–75. doi:10.1080/10803548.2016.1235424
   PubMed Web of Science ®Google Scholar
• Cheyne A, Cox S, Oliver A, et al. Modelling safety climate in the prediction of levels of safety activity. Work Stress. 1998;12(3):255–271. doi:10.1080/02678379808256865
   Web of Science ®Google Scholar
• Reber RA, Wallin JA, Chhokar JS. Improving safety performance with goal setting and feedback. Hum Perform. 1990;3(1):51–61. doi:10.1207/s15327043hup0301_4
   Google Scholar
• Hofmann DA, Stetzer A. A cross-level investigation of factors influencing unsafe behaviors and accidents. Pers Psychol. 1996;49(2):307–339. doi:10.1111/j.1744-6570.1996.tb01802.x
   Web of Science ®Google Scholar
• Lingard H, Rowlinson S. Behavior-based safety management in Hong Kong’s construction industry. J Safety Res. 1997;28(4):243–256. doi:10.1016/S0022-4375(97)00010-8
   Web of Science ®Google Scholar
• Burke MJ, Sarpy SA, Tesluk PE, et al. General safety performance: a test of a grounded theoretical model. Pers Psychol. 2002;55(2):429–457. doi:10.1111/j.1744-6570.2002.tb00116.x
   Web of Science ®Google Scholar
• Hayes BE, Perander J, Smecko T, et al. Measuring perceptions of workplace safety: development and validation of the work safety scale. J Safety Res. 1998;29(3):145–161. doi:10.1016/S0022-4375(98)00011-5
   Web of Science ®Google Scholar
• Neal A, Griffin MA, Hart PM. The impact of organizational climate on safety climate and individual behavior. Saf Sci. 2000;34(1-3):99–109. doi:10.1016/S0925-7535(00)00008-4
   Web of Science ®Google Scholar
• Borman WC, Motowidlo SJ. Expanding the criterion domain to include elements of contextual performance. In: Schmitt N, Borman WC, editors. Personnel selection in organizations. San Francisco (CA): Jossey-Bass; 1993. p. 71–98.
   Google Scholar
• Campbell JP, McCloy RA, Oppler SH, et al. A theory of performance. In: Schmitt N, Borman WC, editors. Personnel selection in organizations. San Francisco (CA): Jossey-Bass; 1993. p. 35–70.
   Google Scholar
• Clarke S. Safety leadership: a meta-analytic review of transformational and transactional leadership styles as antecedents of safety behaviours. J Occup Organ Psychol. 2013;86(1):22–49. doi:10.1111/j.2044-8325.2012.02064.x
   Web of Science ®Google Scholar
• Lyubykh Z, Turner N, Hershcovis MS, et al. A meta-analysis of leadership and workplace safety: examining relative importance, contextual contingencies, and methodological moderators. J Appl Psychol. 2022 [cited 2022 Oct 20]. doi:10.1037/apl0000557.
   PubMed Web of Science ®Google Scholar
• Hu B, Guo H, Zhou P, et al. Characteristics of SARS-CoV-2 and COVID-19. Nat Rev Microbiol. 2021;19(3):141–154. doi:10.1038/s41579-020-00459-7
   PubMed Web of Science ®Google Scholar
• Fugas CS, Silva SA, Meliá JL. Another look at safety climate and safety behavior: deepening the cognitive and social mediator mechanisms. Accid Anal Prev. 2012;45:468–477. doi:10.1016/j.aap.2011.08.013
   PubMed Web of Science ®Google Scholar
• Xu Q, Wu Y, Wang M, et al. The relationship between sense of calling and safety behavior among airline pilots: the role of harmonious safety passion and safety climate. Saf Sci. 2022;150:105718. doi:10.1016/j.ssci.2022.105718
   Web of Science ®Google Scholar
• Zhou Z, Goh Y, Li Q. Overview and analysis of safety management studies in the construction industry. Saf Sci. 2015;72:337–350. doi:10.1016/j.ssci.2014.10.006
   Web of Science ®Google Scholar
• Liu Y, Wang X, Wang D. How leaders and c-workers affect construction workers’ safety behavior: an integrative perspective. J Constr Eng Manag. 2021;147(12):04021176. doi:10.1061/(ASCE)CO.1943-7862.0002215
   Web of Science ®Google Scholar
• Zin SM, Ismail F. Employers’ behavioural safety compliance factors toward occupational, safety and health improvement in the construction industry. Procedia Soc Behav Sci. 2012;36:742–751. doi:10.1016/j.sbspro.2012.03.081
   Google Scholar
• Yu M, Qin W, Li J. The influence of psychosocial safety climate on miners’ safety behavior: a cross-level research. Saf Sci. 2022;150:105719. doi:10.1016/j.ssci.2022.105719
   Web of Science ®Google Scholar
• Al-Bayati AJ. Impact of construction safety culture and construction safety climate on safety behavior and safety motivation. Safety. 2021;7(2):41–54. doi:10.3390/safety7020041
   Web of Science ®Google Scholar
• Fruhen LS, Andrei DM, Griffin MA. Leaders as motivators and meaning makers: how perceived leader behaviors and leader safety commitment attributions shape employees’ safety behaviors. Saf Sci. 2022;152:105775. doi:10.1016/j.ssci.2022.105775
   Web of Science ®Google Scholar
• Smith TD, Eldridge F, DeJoy DM. Safety-specific transformational and passive leadership influences on firefighter safety climate perceptions and safety behavior outcomes. Saf Sci. 2016;86:92–97. doi:10.1016/j.ssci.2016.02.019
   Web of Science ®Google Scholar
• Smith TD. Examination of safety climate, affective organizational commitment, and safety behavior outcomes among fire service personnel. Disaster Med Public Health Prep. 2019;14(5):559–562. doi:10.1017/dmp.2019.117
   PubMed Web of Science ®Google Scholar
• Mashi MS, Subramaniam C, Johari J. The effect of management commitment to safety, and safety communication and feedback on safety behavior of nurses: the moderating role of consideration of future safety consequences. Int J Hum Resour Manag. 2018;31(20):2565–2594. doi:10.1080/09585192.2018.1454491
   Web of Science ®Google Scholar
• Alroomi AS, Mohamed S. Does fatigue mediate the relation between physical isolation and safety behaviour among isolated oil and gas workers? Saf Sci. 2022;147:105639. doi:10.1016/j.ssci.2021.105639
   Web of Science ®Google Scholar
• Alroomi AS, Mohamed S. Physical isolation and safety behaviour among oil and gas workers in Kuwait: the mediating role of mental health. J Loss Prev Process Ind. 2022;75:104692. doi:10.1016/j.jlp.2021.104692
   Web of Science ®Google Scholar
• Ochoa Pacheco P, Cunha MPE, Abrantes ACM. The impact of empowerment and technology on safety behavior: evidence from mining companies. Int J Occup Saf Ergon. 2022;28(1):581–589. doi:10.1080/10803548.2020.1808343
   PubMed Web of Science ®Google Scholar
• Li S, Fan M, Wu X. Effect of social capital between construction supervisors and workers on workers’ safety behavior. J Constr Eng Manag. 2018;144(4):04018014. doi:10.1061/(ASCE)CO.1943-7862.0001467
   Web of Science ®Google Scholar
• Li S, Wu X, Wang X, et al. Relationship between social capital, safety competency, and safety behaviors of construction workers. J Constr Eng Manag. 2020;146(6):04020059. doi:10.1061/(ASCE)CO.1943-7862.0001838
   Web of Science ®Google Scholar
• He C, McCabe B, Jia G. Effect of leader–member exchange on construction worker safety behavior: safety climate and psychological capital as the mediators. Saf Sci. 2021;142:105401. doi:10.1016/j.ssci.2021.105401
   Web of Science ®Google Scholar
• Saleem MS, Isha A, Yusop YM, et al. The role of psychological capital and work engagement in enhancing construction workers’ safety behavior. Front Public Health. 2022;10:810145. doi:10.3389/fpubh.2022.810145
   PubMed Web of Science ®Google Scholar
• Griffin MA, Neal A. Perceptions of safety at work: a framework for linking safety climate to safety performance, knowledge, and motivation. J Occup Health Psychol. 2000;5(3):347–358. doi:10.1037/1076-8998.5.3.347
   PubMedGoogle Scholar
• Neal A, Griffin MA. A study of the lagged relationships among safety climate, safety motivation, safety behavior, and accidents at the individual and group levels. J Appl Psychol. 2006;91(4):946–953. doi:10.1037/0021-9010.91.4.946
   PubMed Web of Science ®Google Scholar
• Newaz MT, Davis P, Jefferies M, et al. The psychological contract: a missing link between safety climate and safety behaviour on construction sites. Saf Sci. 2019;112:9–17. doi:10.1016/j.ssci.2018.10.002
   Web of Science ®Google Scholar
• Xia N, Tang Y, Li D, et al. Safety behavior among construction workers: influences of personality and leadership. J Constr Eng Manag. 2021;147(4):04021019. doi:10.1061/(ASCE)CO.1943-7862.0002023
   Web of Science ®Google Scholar
• Jung M, Lim S, Chi S. Impact of work environment and occupational stress on safety behavior of individual construction workers. Int J Environ Res Public Health. 2020;17(22):8304. doi:10.3390/ijerph17228304
   PubMed Web of Science ®Google Scholar
• Zhang RP, Lingard H, Oswald D. Impact of supervisory safety communication on safety climate and behavior in construction workgroups. J Constr Eng Manag. 2020;146(8):04020089. doi:10.1061/(ASCE)CO.1943-7862.0001881
   Web of Science ®Google Scholar
• Liu Q, Ye G, Feng Y. Workers’ safety behaviors in the off-site manufacturing plant. Eng Constr Archit Manag. 2019;27(3):765–784. doi:10.1108/ECAM-03-2019-0136
   Web of Science ®Google Scholar
• Wang D, Zong Z, Mao W, et al. Investigating the relationship between person–environment fit and safety behavior: a social cognition perspective. J Safety Res. 2021;79:100–109. doi:10.1016/j.jsr.2021.08.010
   PubMed Web of Science ®Google Scholar
• Li Y, Wu X, Luo X, et al. Impact of safety attitude on the safety behavior of coal miners in China. Sustainability. 2019;11(22):6382. doi:10.3390/su11226382
   Web of Science ®Google Scholar
• Maneechaeye P, Potipiroon W. The impact of fleet-level and organization-level safety climates on safety behavior among Thai civilian pilots: the role of safety motivation. Saf Sci. 2022;147:105614. doi:10.1016/j.ssci.2021.105614
   Web of Science ®Google Scholar
• Wong KCK. Work support, psychological well-being and safety performance among nurses in Hong Kong. Psychol Health Med. 2018;23(8):958–963. doi:10.1080/13548506.2018.1437275
   PubMed Web of Science ®Google Scholar
• Uzuntarla F, Kucukali S, Uzuntarla Y. An analysis on the relationship between safety awareness and safety behaviors of healthcare professionals, Ankara/Turkey. J Occup Health. 2020;62(1):e12129. doi:10.1002/1348-9585.12129
   PubMed Web of Science ®Google Scholar
• Sprung JM, Britton AR. The dyadic context of safety: an examination of safety motivation, behavior, and life satisfaction among farm couples. Saf Sci. 2016;85:1–8. doi:10.1016/j.ssci.2016.01.001
   Web of Science ®Google Scholar
• Wong KCK, Chan AKK. Work antecedents, psychological strain and safety behaviours among Chinese hotel employees. Saf Sci. 2020;129:104825. doi:10.1016/j.ssci.2020.104825
   Web of Science ®Google Scholar
• Chu F, Guo M, Liu S, et al. Work–family conflict, personality, and safety behaviors among high-speed railway drivers. J Transp Saf Secur. 2020;12(9):1147–1163.
   Web of Science ®Google Scholar
• Xue Y, Fan Y, Xie X. Relation between senior managers’ safety leadership and safety behavior in the Chinese petrochemical industry. J Loss Prev Process Ind. 2020;65:104142. doi:10.1016/j.jlp.2020.104142
   Web of Science ®Google Scholar
• Brondino M, Bazzoli A, Pasini M. Safety climate agreement for a safer work environment: a multilevel mediation analysis of the relationship between LMX and safety behaviors. TPM – Test Psychom Methodol Appl Psychol. 2020;27(3):361–382.
   Web of Science ®Google Scholar
• Deng Y, Guo H, Meng M, et al. Exploring the effects of safety climate on worker’s safety behavior in subway operation. Sustainability. 2020;12(20):8310. doi:10.3390/su12208310
   Web of Science ®Google Scholar
• Bayram M, Arpat B, Ozkan Y. Safety priority, safety rules, safety participation and safety behaviour: the mediating role of safety training. Int J Occup Saf Ergon. 2021 [cited 2022 Oct 20].doi:10.1080/10803548.2021.1959131.
   PubMed Web of Science ®Google Scholar
• Heier L, Gambashidze N, Hammerschmidt J, et al. Safety performance of healthcare professionals: validation and use of the adapted workplace health and safety instrument. Int J Environ Res Public Health. 2021;18(15):7816. doi:10.3390/ijerph18157816
   PubMed Web of Science ®Google Scholar
• Toderi S, Gaggia A, Mariani MG, et al. Griffin and Neal’s safety model: determinants and components of individual safety performance in the Italian context. Med Lav. 2015;106(6):447–459.
   PubMed Web of Science ®Google Scholar
• Kalteh HO, Mortazavi SB, Mohammadi E, et al. Psychometric properties of the Persian version of Neal and Griffin’s safety performance scale. Int J Occup Saf Ergon. 2021;27(1):41–47. doi:10.1080/10803548.2018.1504853
   PubMed Web of Science ®Google Scholar
• Martínez-Córcoles M, Gracia FJ, Tomás I, et al. Empowering team leadership and safety performance in nuclear power plants: a multilevel approach. Saf Sci. 2013;51(1):293–301. doi:10.1016/j.ssci.2012.08.001
   Web of Science ®Google Scholar
• Economic Commission for Latin America and the Caribbean. Estado de situación de la minería en América Latina y el Caribe: desafíos y oportunidades para un desarrollo más sostenible [Status of mining in Latin America and the Caribbean: challenges and opportunities for a more sustainable development]. Lima: ECLAC; 2018 [2022 Jun 26]. Spanish. Available from: https://www.cepal.org/sites/default/files/presentation/files/181116_extendidafinalconferencia_a_los_ministros_mineria_lima.pdf
   Google Scholar
• Barbaranelli C, Petitta L, Probst TM. Does safety climate predict safety performance in Italy and the USA? Cross-cultural validation of a theoretical model of safety climate. Accid Anal Prev. 2015;77:35–44. doi:10.1016/j.aap.2015.01.012
   PubMed Web of Science ®Google Scholar
• Yu X, Mehmood K, Paulsen N, et al. Why safety knowledge cannot be transferred directly to expected safety outcomes in construction workers: the moderating effect of physiological perceived control and mediating effect of safety behavior. J Constr Eng Manag. 2021;147(1):04020152. doi:10.1061/(ASCE)CO.1943-7862.0001965
   Web of Science ®Google Scholar
• Mahalanobis PC. On the generalized distance in statistics. Proc Indian National Sci Acad. 1936;2:49–55.
   Google Scholar
• Brown TA. Confirmatory factor analysis for applied research. 2nd ed. New York (NY): Guilford Press; 2015.
   Google Scholar
• Morin AJ. Exploratory structural equation modeling. In: Hoyle H, editor. Handbook of structural equation modeling. 2nd ed. New York (NY): Guilford Press; Forthcoming 2023.
   Google Scholar
• Yuan KH, Bentler PM. Three likelihood-based methods for mean and covariance structure analysis with nonnormal missing data. Sociol Methodol. 2000;30(1):165–200. doi:10.1111/0081-1750.00078
   Web of Science ®Google Scholar
• Li CH. Confirmatory factor analysis with ordinal data: comparing robust maximum likelihood and diagonally weighted least squares. Behav Res Methods. 2016;48:936–949. doi:10.3758/s13428-015-0619-7
   PubMed Web of Science ®Google Scholar
• Rhemtulla M, Brosseau-Liard PE, Savalei V. When can categorical variables be treated as continuous? A comparison of robust continuous and categorical SEM estimation methods under suboptimal conditions. Psychol Methods. 2012;17(3):354–373. doi:10.1037/a0029315
   PubMed Web of Science ®Google Scholar
• Sass DA, Schmitt TA, Marsh HW. Evaluating model fit with ordered categorical data within a measurement invariance framework: a comparison of estimators. Struct Equ Modeling. 2014;21(2):167–180. doi:10.1080/10705511.2014.882658
   Web of Science ®Google Scholar
• van Zyl LE, ten Klooster PM. Exploratory structural equation modeling: practical guidelines and tutorial with a convenient online tool for Mplus. Front Psychiatry. 2022;12:795672. doi:10.3389/fpsyt.2021.795672
   PubMed Web of Science ®Google Scholar
• Alamer A, Marsh H. Exploratory structural equation modeling in second language research: an applied example using the dualistic model of passion. Stud Second Lang Acquis. 2022 [cited 2022 Oct 20]. doi:10.1017/S0272263121000863.
   PubMed Web of Science ®Google Scholar
• Alamer A. Exploratory structural equation modeling (ESEM) and bifactor ESEM for construct validation purposes: guidelines and applied example. Res Methods Appl Linguist. 2022;1(1):100005. doi:10.1016/j.rmal.2022.100005
   Google Scholar
• McDonald RP. Test theory: a unified treatment. 1st ed. New York (NY): Psychology Press; 1999.
   Google Scholar
• Cronbach LJ. Coefficient alpha and the internal structure of tests. Psychometrika. 1951;16:297–334. doi:10.1007/BF02310555
   Web of Science ®Google Scholar
• Bacon D, Sauer PL, Young M. Composite reliability in structural equations modeling. Educ Psychol Meas. 1995;55(3):394–406. doi:10.1177/0013164495055003003
   Web of Science ®Google Scholar
• Dunn TJ, Baguley T, Brunsden V. From alpha to omega: a practical solution to the pervasive problem of internal consistency estimation. Br J Psychol. 2014;105(3):399–412. doi:10.1111/bjop.12046
   PubMed Web of Science ®Google Scholar
• Hayes A, Coutts JJ. Use omega rather than Cronbach’s alpha for estimating reliability. But … . Commun Methods Meas. 2020;14(1):1–24. doi:10.1080/19312458.2020.1718629
   Web of Science ®Google Scholar
• Fornell C, Larcker DF. Evaluating structural equation models with unobservable variables and measurement error. J Mark Res. 1981;18(1):39–50. doi:10.1177/002224378101800104
   Web of Science ®Google Scholar
• Henseler J. Composite-based structural equation modeling: analyzing latent and emergent variable. New York (NY): Guilford Press; 2021.
   Google Scholar
• Roemer E, Schuberth F, Henseler J. HTMT2 – an improved criterion for assessing discriminant validity in structural equation modeling. Ind Manag Data Syst. 2021;121(12):2637–2650. doi:10.1108/IMDS-02-2021-0082
   Web of Science ®Google Scholar
• Henseler J, Ringle CM, Sarstedt M. A new criterion for assessing discriminant validity in variance-based structural equation modeling. J Acad Mark Sci. 2015;43(1):115–135. doi:10.1007/s11747-014-0403-8
   Web of Science ®Google Scholar
• Vandenberg RJ, Lance CE. A review and synthesis of the measurement invariance literature: suggestions, practices, and recommendations for organizational research. Organ Res Methods. 2000;3(1):4–70. doi:10.1177/109442810031002
   Web of Science ®Google Scholar
• Kim ES, Cao C, Wang Y, et al. Measurement invariance testing with many groups: a comparison of five approaches. Struct Equ Modeling. 2017;24(4):524–544. doi:10.1080/10705511.2017.1304822
   Web of Science ®Google Scholar
• Byrne BM, Shavelson RJ, Muthén B. Testing for the equivalence of factor covariance and mean structures: the issue of partial measurement invariance. Psychol Bull. 1989;105(3):456–466. doi:10.1037/0033-2909.105.3.456
   Web of Science ®Google Scholar
• Steenkamp JBE, Baumgartner H. Assessing measurement invariance in cross-national consumer research. J Consum Res. 1998;25(1):78–90. doi:10.1086/209528
   Web of Science ®Google Scholar
• Cheung G, Rensvold R. Evaluating goodness-of-fit indexes for testing measurement invariance. Struct Equ Modeling. 2002;9(2):233–255. doi:10.1207/S15328007SEM0902_5
   Web of Science ®Google Scholar
• Chen F. Sensitivity of goodness of fit indexes to lack of measurement invariance. Struct Equ Modeling. 2007;14(3):464–504. doi:10.1080/10705510701301834
   Web of Science ®Google Scholar
• Bollen KA. Structural equations with latent variables. New York (NY): Wiley; 1989.
   Google Scholar
• Nunnally J, Bernsteing I. Psychometric theory. 3rd ed. New York (NY): McGraw-Hill; 1994.
   Google Scholar
• Shi D, Lee T, Maydeu-Olivares A. Understanding the model size effect on SEM fit indices. Educ Psychol Meas. 2019;79(2):310–334. doi:10.1177/0013164418783530
   PubMed Web of Science ®Google Scholar
• Chen F, Curran P, Bollen K, et al. An empirical evaluation of the use of fixed cutoff points in rmsea test statistic in structural equation models. Sociol Methods Res. 2008;36(4):462–494. doi:10.1177/0049124108314720
   PubMed Web of Science ®Google Scholar
• Kenny D, Kaniskan B, McCoach DB. The performance of rmsea in models with small degrees of freedom. Sociol Methods Res. 2015;44(3):486–507. doi:10.1177/0049124114543236
   Web of Science ®Google Scholar
• Taasoobshirazi G, Wang S. The performance of the SRMR, rmsea, CFI, and TLI: an examination of sample size, path size, and degrees of freedom. J Appl Quant Methods. 2016;11(3):31–39.
   Google Scholar
• Hair JF, Black WC, Babin BJ, et al. Multivariate data analysis. 8th ed. Andover: Cengage Learning; 2019.
   Google Scholar
• Meredith W. Measurement invariance, factor analysis and factorial invariance. Psychometrika. 1993;58(4):525–543. doi:10.1007/BF02294825
   Web of Science ®Google Scholar
• Putnik DL, Bornstein MH. Measurement invariance conventions and reporting: the state of the art and future directions for psychological research. Dev Rev. 2016;41:71–90. doi:10.1016/j.dr.2016.06.004
   PubMed Web of Science ®Google Scholar
• Byrne BM. Structural equation modeling with AMOS: basic concepts, applications, and programming. 3rd ed. New York (NY): Routledge; 2016.
   Google Scholar
• Pietrobelli C, Marin A, Olivari J. Innovation in mining value chains: new evidence from Latin America. Resour Policy. 2018;58:1–10. doi:10.1016/j.resourpol.2018.05.010
   Web of Science ®Google Scholar