Stress Levels and Job Injuries

Research Focus Three research questions were investigated in this study, and three related hypotheses were tested. These research questions, and the associated hypotheses, were as follows:

1. Are perceived stress levels affected by the jobrelated injury experience of an individual employee?

It is hypothesized that perceived stress levels will be higher among employees who have suffered a jobrelated injury.

2. Are perceived stress levels affected by the job classification of an individual employee?

It is hypothesized that perceived stress levels will be higher as the organizational hierarchical level of an employee's job classification descends.

3. Are perceived stress levels affected by the gender of an individual employee?

It is hypothesized that perceived stress levels will be higher generally among male employees than among female employees. An effort was also made to develop a model that would permit the prediction of perceived stress among members of an

organization. The predictor variables in this model were (1) the level of a subject's position in the organizational hierarchy, (2) the subject's jobrelated injury experience, and (3) the subject'

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tion in the population is like, provided only that the samples are large enough. In most instances where inferential statistics are applied in hypothesis testing, population distributions are unknown. Therefore, the central limit theorem assumes a highlevel of importance in hypothesis testing. The principal techniques of statistical inference are interval estimation and hypothesis testing. Although statistical inference techniques are directly concerned with estimating values or with the testing of hypotheses concerning population parameters, the results of these procedures are related to alternative courses of action or to alternative decisions. As an example, the acceptance of a null hypothesis (or the inability to reject a null hypothesis) in statistical inference analysis which indicated that the sales level for a product will be below the break even point for that product would, also, typically be associated with a decision not to market the product. Essentially, the choice between probability levels of Type I (Alpha) and Type II (Beta) errors is the basis on which the relative importance of two alternative types of mistakes are assessed in hypothesis testing in statistical inference analysis. In such analysis, decisio
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Approximate Word count = 2766
Approximate Pages = 11 (250 words per page)

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