Importance of the Results

1. Importance of the results:

The results can be used to identify problem areas in the work place, for example results show that salaried workers are less satisfied compared to hourly workers, these results can therefore be used to establish why this is the case and therefore help improve among the salaried workers. Results from the AIU data set can also be used in selection of workers in the future, it is evident from the results that the hourly workers have higher job satisfaction and therefore in future the company would increase the overall mean satisfaction of employees by hiring more hourly workers.

The results may also be used in decision making, this include decisions related to improving job satisfaction, for example a company may decide to improve working condition in the departments with lower job satisfaction by improving working conditions and the introduction of incentives aimed at increasing employee satisfaction.

2. Correlational research:

Correlational research refers to research aimed at establishing the relationship between two variables, in the AIU data set the age and the overall employee satisfaction variables can be used to undertake correlational research, this is because there is a relationship that exist between age and employee satisfaction according to Reuters (2007), older employees are more likely to have higher satisfaction levels than younger employees.

Importance of the Results

3. Correlation and causation:

Correlation as defined above is the relationship between variables, the correlation coefficient obtained will only signify the extent to which two variables increase or decrease as the other variable increases or decreases, this means that strong correlation does not mean that one variable causes another variable to change. Causation therefore is statistical method aimed at establishing how one or more variables causes another variable to increase. For example the correlation between car sales and milk consumption over a period may be strong but this does not mean that milk consumption causes an increase in car sales.


Mendenhall, W. (1993) Statistics: a tool for the social sciences, NY: Penguin

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