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Ravalier PhD Theis.pdf - Anglia Ruskin Research Online

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hypothesis testing is difficult to conduct. A first-order CFA of the seven-factor model of the MSIT as interpreted<br />

from the management standards examined earlier gave a statistically significant chi-square value, with further fit<br />

statistics indicating an acceptable level. Therefore the tool as demonstrated through the 7-factor model was found<br />

to be statistically sound. In contrast, a first-order CFA conducted on an additional first-order model also exhibited a<br />

statistically significant chi-square, with other goodness of fit statistics being poor and thus indicating that the<br />

seven-factor model is the most appropriate for use. Finally a second-order CFA, which seeks to find an overall<br />

factor as measured by the MSIT, was conducted in order to establish whether the scale contains a higher-order<br />

factor. Edwards et al. (2008) hypothesised that the MSIT can be explained by seven first-order factors as described<br />

above, and one second-order factor of overall general work-related stress. The second-order CFA confirmed this<br />

hypothesis, indicating that the scale does look at seven first order factors and one overall second order factor of<br />

work-related stress in general.<br />

The MS were designed by the HSE using a qualitative approach which allowed bottom-up communication with<br />

a number of stakeholders (Cousins, 2004). In addition to demonstrating that the MS were developed using strong<br />

and in-depth methodologies, the bottom-up process is essential to the Appreciative Inquiry process due to the<br />

inclination that both the MS development and the nature of AI are user-, or employee-, led. Therefore the<br />

development of the MSIT for use in a bottom-up and user-led process fits nicely with the use of AI methodologies.<br />

An important part of the MS is that organisations do not just make an assessment to see if they have a<br />

problem in the workplace, but that they also work to eliminate or at least alleviate the potential outcomes for any<br />

identified stressor (Cousins et al., 2004), and where possible the stressor its self. As earlier examined, AI is a<br />

cyclical process which is about identifying working strengths (i.e. stress in the workplace), and identifying how

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