The initial structural equation model tested in these analyses
reflects a traditional predictive structure derived from the safety
literature, introduced in the first section of this article. In this model,
organizational values are posited to directly predict organizational
safety and health policies, which in turn are hypothesized to impact
both safety climate and organizational commitment. In this model,
perceived organizational support is hypothesized to partially mediate
the relationships between OSHP&P and safety climate and between
OSHP&P and organizational commitment. Finally, we expected
organizational commitment to positively impact vitality and nega-
tively impact withdrawal behavior. Safety climate, on the other hand,
has been shown to positively impact safety at work and negatively
impact accidents.
All of the hypothesized relationships were found to be statistically
significant at the .05 level in this model (see solid lines in Fig. 2). An
asterisk in Fig. 2 indicates a statistically significant predictive
relationship between latent variables. The model fit for this traditional
model structure came close to meeting all of Hu and Bentler (1999)
established cut-off statistics for assessments of relative fit. Its RMSEA
and SRMSR statistics were slightly higher than recognized cut-offs for
acceptable model fit (i.e., .061 vs. .06 for the RMSEA and .100 vs. .08 for
the SRMSR). The TLI and CFI values, on the other hand, were above Hu
The initial structural equation model tested in these analyses
reflects a traditional predictive structure derived from the safety
literature, introduced in the first section of this article. In this model,
organizational values are posited to directly predict organizational
safety and health policies, which in turn are hypothesized to impact
both safety climate and organizational commitment. In this model,
perceived organizational support is hypothesized to partially mediate
the relationships between OSHP&P and safety climate and between
OSHP&P and organizational commitment. Finally, we expected
organizational commitment to positively impact vitality and nega-
tively impact withdrawal behavior. Safety climate, on the other hand,
has been shown to positively impact safety at work and negatively
impact accidents.
All of the hypothesized relationships were found to be statistically
significant at the .05 level in this model (see solid lines in Fig. 2). An
asterisk in Fig. 2 indicates a statistically significant predictive
relationship between latent variables. The model fit for this traditional
model structure came close to meeting all of Hu and Bentler (1999)
established cut-off statistics for assessments of relative fit. Its RMSEA
and SRMSR statistics were slightly higher than recognized cut-offs for
acceptable model fit (i.e., .061 vs. .06 for the RMSEA and .100 vs. .08 for
the SRMSR). The TLI and CFI values, on the other hand, were above Hu
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