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Practical applications of the study

Practical applications of the study

admin / January 8, 2019

In an employment situation, leaders should understand their employees to develop effective employees’ motivation mechanisms. Fulfillment of psychological contracts between the employer and employee facilitates development and reinforcement of good employee’s relation. To analyze a real practical example, let us take an example of information technology departments consisting of specialist and their support staffs.

The management should ensure that the employees are effectively vetted before engaging them. Their salary package should be attractive enough and have mechanism and systems to be utilized to communicate their issues to the management. The human resources department should bleach the gap between the employees and the management.

The management should look into satisfaction, intrinsic factors, extrinsic factors and benefits to motivate their staffs. More emphasis should be placed on extrinsic factors. Gender mix in an organization affects the performance of a department; the management should have appropriate measures to ensure that there is a health combination of age, gender and expertise.

Correlation research

A correlation research is a qualitative and quantitative method of research, where a positive relationship existing between two or more variable from the same population or subject is established. In the study, some variables that influence each other in one way or another, what is important is to understand how these variables affect each other.

Relationship between variables is measured from +1 to -1, where +1 are variables with perfect correlation where by a unit change in variable A in direction 1, leads to a unit change in variable A in the same direction.

A correlation of -1 means that the variables are perfectly uncorrelated; a change in variable A in direction 1 leads to a change in variable B in the opposite direction. When the correlation is zero, then there is no correlation between the variables (Eells, 1991).

Variable from this study

Variables are classified into dependent and independent variables. Dependent variables change when an independent variable changes. In this study, staff motivation is the dependent variable and depends on various variables. The independent variables are both qualitative and qualitative variables. They are job satisfaction, intrinsic, extrinsic, benefits, gender, age, department, tenure and position.

In a work place, motivation of staffs is dependent of extrinsic factors, how well they have been affected by the business. They have a positive correlation where improvements in extrinsic variables in an organization lead to an improvement of motivation in an organization.

The decision to choose the dependent variable is after analyzing the results in the exercise. Changes in independent variables where giving rise to changes in independent variables (Galavotti, 2005).

Correlation and causation

In a research study, where certain variables affect the results of other variables, then the variables at hand are correlated, whether negatively or positively. The approach taken by correlation is similar with the underlying philosophy of causation, which aims to establish a cause effect relationship between different variables.

The similarity of the two research variables is that they aim at establish the existing positive relationship of variables in a research. Their difference is on the approach they utilize, in correlation, variables are affected by a common phenomenon and they affect each other. In causation, a variable A causes the existence of variable B (Billingsley, 1995).

Conclusion

Undertaking a research assists a company establish relationship between various variables in the work place: when the relationship is established, it facilitates making of strategic decisions.

References

Billingsley, P. (1995). Probability and Measure. New York: Wiley.

Eells, E.(1991). Probabilistic Causality, Cambridge: Cambridge University Press.

Galavotti, M. (2005). Philosophical Introduction to Probability, Stanford: CSLI Publications

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