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Influence of Music on Work

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While for the patient access registrants accuracy may not be that critical, hospital management cannot afford a low level of productivity. To determine whether music may enhance productivity among patient registrant stuff in an open office environment in a hospital the human resource manager compared the productivity of 24 individuals’ less than three different working conditions and their performance was scored on a 10-point scale. In view of conflicting evidence regarding music and level of complexity of tasks, this experiment is expected to lead to an environment more conducive to the better work environment in a hospital. The research was aimed at establishing a cause and effect relationship, therefore a strong research design was integral.

The subjects were assigned to groups randomly which is essential to increase research validity. To ensure that there is a definite causal relationship between variables X and Y, the experiment must show that the performance of employees both with and without music. Therefore measurements were taken when employees were exposed to music and when there were working without music. Moreover, as the employees were involved in only clerical work which was not directly related to a patient, therefore, no risk was present of human suffering. The registrant staff at a hospital was divided into three different groups.

The selection was made randomly to ensure that results of the experiment were not affected due to differences in employee performance or capability. The subjects were each given 30 minutes to study a set of patient registration data. The group 1 is exposed to constant music volume, whereas group 2 is exposed to varying music sounds. The third group works without any music at all.

After the test each group took a multiple choice test on the registration data. In the above scenario, each group of employees has taken 10-point multiple choice questions set and their answers are recorded above in the table. The type of measurement data generated here is “ ratio” data as it has all the four features of Ratio Scale. Firstly, we know that in ratio scale different numbers have different meanings, as 4 are different from 7.

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