A cross-validation of safety climate scale using confirmatory factor analytic approach.
OBJECTIVE
Given the lack of a consistent factor structure of safety climate, this study tested the stability of a factor structure of a safety climate scale developed through an extensive literature review using confirmatory factor analytic approach and cross-validation.


METHODS
A cross-sectional sample of 722 U.S. grain industry workers participated in the questionnaire survey.


RESULTS
The safety climate scale developed through the generation of an item pool based on a table of specifications, subsequent scientific item reduction procedures, reviews from experts, and pilot test yielded adequate reliabilities for each dimension. Each item showed proper discriminative power based on both internal and external criteria. Criterion validity was manifested by the significant positive correlation of the scale with five criteria. Evidence of construct validity was provided by both exploratory and confirmatory factor analyses. Both calibration and validation samples supported a consistent factor structure. Management commitment and supervisor support were found to influence other dimensions of safety climate.


CONCLUSIONS
This study provides an insight into the primary reason why previous attempts have failed to find a consistent factor structure of safety climate: No specification of the influence of management commitment and supervisor support on other dimensions of safety in their models.


CONCLUSIONS
The findings of this study provide a framework upon which accident prevention efforts can be effectively organized and underscore the importance of management commitment and supervisor support as they affect employee safety perceptions.
Seo
Dong-Chul
DC
Department of Applied Health Science, Indiana University, HPER 116, 1025 E. 7th Street, Bloomington 47405-7109, USA. sdongchu@indiana.edu
Torabi
Mohammad R
MR
Blair
Earl H
EH
Ellis
Nancy T
NT
D000328:Adult; D000383:Agriculture / Q000706:statistics & numerical data; D005163:Factor Analysis, Statistical; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015279:Organizational Culture; D015203:Reproducibility of Results; D017751:Safety Management / Q000458:organization & administration* / Q000706:statistics & numerical data; D014481:United States; D014894:Weights and Measures / Q000592:standards*