Document Type : Original Article

Authors

Health Education Department, Tarbiat Modares University, Tehran, Iran

Abstract

Background: Effective safety education can prevent many occupational accidents. To educate
the public about safety effectively, determinants of safe behavior must be addressed. Personality
constructs are among the most important determinants of safe behavior. One of the personality
constructs that has been studied recently in relation to accidents is locus of control. The main
aim of this study was designing, validating, and determining the reliability of safety locus of
control scale. Materials and Methods: This study was a descriptive, cross‑sectional study. The
“forward–backward” procedure was applied to translate safety locus of control scale (Jones
and Becker 1985) from English to Persian. To determine the scientific validity of the scale , face
validity and content validity by expert judgments were used. Internal consistency was determined
using Cronbach’s α‑coefficient. Questionnaires were distributed to a group of 400 workers from
different parts of Isfahan Steel Company. Finally, 317 workers completed the questionnaires.
Exploratory factor analysis was performed with software SPSS13, and confirmatory factor
analysis was performed with software LISREL8.8. Results: The exploratory factor analysis
results revealed that the three components of the items can be extracted from the scale including
internal control (4 questions), environmental and equipment control (4 questions), and chance
and fate (4 questions). Confirmatory factor analysis using maximum likelihood estimation results
indicated that the data had good fit with three‑component scale and fit indices were acceptable:
c2
∕df=3.96, df=41, c2
=120.59, RMSIA=0.080, 95% Confidence Interval=0.64–0.097, CFI=0.96,
GFI=0.94, AGFI=0.89. The internal control components and equipment and environmental
control were negatively correlated with each other (P≤0.05, r=−0.41). Also, a weak correlation
between chance and fate and environmental and equipment control was seen (P≤0.05, r=0.31).
Conclusion: In most studies, designing a scale and determining its validity and reliability is
costly and time consuming. The available reliable and valid scale leads to reduced costs and
accelerated research. In other words, duplication will be avoided. The scale obtained in this study
can be used in safety and industrial psychology research.

Keywords

1. Amidi Mazaheri M, Hidarnia A, Ghofranipour F. The effect of
intervention on the implementation of an incident reporting system
in Isfahan Steel Company. Iran Red Crescent Med J 2010; 12:529-34.
2. Zalewski E. Reduce injuries with proper technique. Occup Health
Saf 2005;74:42, 44,46
3. Colemont A, Van den BS. Measuring determinants of occupational
health related behavior in Flemish farmers: An application of the
Theory of Planned Behavior. J Safety Res 2008;39:55-64.
4. Byrd-Bredbenner C, Wheatley V, Schaffner D, Bruhn C, Blalock L,
Maurer J. Development of food safety psychosocial questionnaires
for young adults. J Food Sci Educ 2007;6:30-7.
5. Joseph C, Ganesh A. Aviation safety locus of control in Indian
aviators. Indian J Aerosp Med 2006;50:14-21.
6. Adam C, Boldis I, Soanca C. Special Issue: “Health in context”: 24th
Annual Conference of the European Health Psychology Society,
Cluj-Napoca, Romania, 1st-4th Sept 2010, Guest Editors: Paul
Norman and Adriana Baban Poster presentations (In alphabetical
order by first author). Psychology Health. 2010;25:1.
7. Moshki M, Ghofranipour F, Hajizadeh E, Azadfallah P. Validity and
reliability of the multidimensional health locus of control scale for
college students. BMC Public health 2007;7:295.
8. King Z. Career self-management: Its nature, causes and
consequences. J Vocat Behav 2004;65:112-33.
9. Wallston KA, Strudler Wallston B, DeVellis R. Development of the
multidimensional health locus of control (MHLC) scales. Health Educ
Behav 1978;6:160-70.
10. Otto C, Bischof G, Rumpf HJ, Meyer C, Hapke U, John U. Multiple
dimensions of health locus of control in a representative population
sample: Ordinal factor analysis and cross-validation of an existing
three and a new four factor model. BMC Med Res Methodol
2011;11:114.
11. Huang, J. L., & Ford, J. K. Driving locus of control and driving
behaviors: Inducing change through driver training. Transportation
Research Part F (2011), doi:10.1016/j.trf.2011.09.002.
12. Jones JW, Wuebker L. Development and validation of the safety
locus of control scale. Percept Mot Skills 1985;61:151-61.
13. Jones JW, Wuebker LJ. Safety locus of control and employees’
accidents. J Bus Psychol 1993;7:449-57.
14. Hunter DR. Development of an aviation safety locus of control scale.
Safety 2002;7:160.
15. Hansen CP. Personality characteristics of the accident involved
employee. J Bus Psychol 1988;2:346-65.
16. Malcarne VL, Drahota A, Hamilton NA. Children’s health-related
locus of control beliefs: Ethnicity, gender, and family income. Child
Health Care 2005;34:47-59.
17. Wallston KA. Overview of the special issue on research with the
multidimensional health locus of control (MHLC) scales. J Health
Psychol 2005;10:619-21.
18. Baken D, Stephens C. More dimensions for the multidimensional health
locus of control: Confirmatory factor analysis of competing models of
the structure of control beliefs. J Health Psychol 2005;10:643-56.
19. Kuwahara A, Nishino Y, Ohkubo T, Tsuji I, Hisamichi S, Hosokawa T.
Reliability and validity of the Multidimensional Health Locus of
Control Scale in Japan: Relationship with demographic factors and
health-related behavior. Tohoku J Exp Med 2004;203:37-45.
20. Luszczynska A, Schwarzer R. Multidimensional health locus of
control: Comments on the construct and its measurement. J Health
Psychol 2005;10:633-42.
21. Astrom A, Blay D. Multidimensional health locus of control
scales: Applicability among Ghanaian adolescents. East Afr Med J
2004;79:128-33.