Qualitative and Quantitative Data Analysis Essay

Total Length: 1832 words ( 6 double-spaced pages)

Total Sources: 10

Page 1 of 6

.....employee data to answer some human resources related questions using the SPSS software. The screenshots of the entire data are presented in the Appendix 1 and Appendix 2. The report provides the findings for the HR (human resources) issues after carrying out the data analysis of employee's data. The outcome of the analysis reveals that workers between 25 and 55 years of age form the largest percentage of employees in the organization where the mean age of all the entire workforce is 39.19 years. However, workers between 18 and 29 years of age consist of 30.4% of the workforce. However, workers between age of 30 and 40 consist of 23.2% of employees within the organization. Employees between 41 and 50 years of age consist of 23.2% of the workforce while employees between 51 and 63 of age consist of 21.7%.



The findings also reveal the proportion of the employees belonging to each ethnic group. The entire workforce is 70 in number and White ethnic group forms 51.4% (36) of all employees while Asians rank second with 25.7% (18). West Indians are 20% (14) while Africans are 2.9% (2). The average income of all workers is $7,819.12. The result of the regression analysis reveals that the number of salary increases with an increase in the number of years worked in the organization because the p-value is 8.6, which is more than 0.05 the significant level. Moreover, the average salary is statistically significant at different skill categories. The p-value is .074 which is more than 0.05 the significant level showing that as skills of workers increase, their salary also increases. Moreover, there is a significant difference between males and females who attended the firm's meeting last month because 58.3% of males attended the meeting while 41.7% of female attended the meeting last month.

Stuck Writing Your "Qualitative and Quantitative Data Analysis" Essay?

The result of the "Pearson Chi-Square" shows that χ(1) = 0.206, p = .650 revealing that "there a significant difference between the proportion of males and females who attended the firm's meeting last month."



Following is the analysis of employee data:



1. "What is the age distribution of the workforce? (Use, for example, Histogram)"



FREQUENCIES VARIABLES=age



/STATISTICS=RANGE MEAN



/HISTOGRAM



/ORDER=ANALYSIS.



Frequencies



[DataSet1] C:UsersucerDesktop188375_jss.sav



Statistics



Age



N



Valid



69



Missing



1



Mean



39,19



Range



45



Age



Frequency



Percent



Valid Percent



Cumulative Percent



Valid



18



2



2,9



2,9



2,9



19



2



2,9



2,9



5,8



21



2



2,9



2,9



8,7



23



1



1,4



1,4



10,1



26



3



4,3



4,3



14,5



27



2



2,9



2,9



17,4



28



3



4,3



4,3



21,7



29

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Reference


Ali, T. S. (2011). Living with violence in the home: Exposure and experiences among married women, residing in urban Karachi, Pakistan. Ph.D. Dissertation Department Of Public Health Sciences, Karolinska Institutet, Stockholm, Sweden.

Ammons, S. K. & Edgell, P. (2007). Religious Influences on Work -- Family Trade-Offs. Journal of Family Issues, 28(6). 794-826.

Ansari, S. A. (2011). Gender difference: Work and family conflicts and family-work conflicts. Pakistan Business Review, 13(2). 315-331.

Anthias, F. (2013). Intersectional what? Social divisions, intersectionality and levels of analysis. Ethnicities, 13(1). 3-19.

Anwar, M. & Shahzad, K. (2011). Impact of Work-Life Conflict on Perceived Employee Performance: Evidence from Pakistan. European Journal of Economics, Finance and Administrative Sciences, 13(2011). 82-86.

Arif, N. & Amir, T. (2008). Adjustment of Married Working Women in Joint Family System. MA Gender Studies Dissertation Department of Gender Studies, University of the Punjab, Pakistan.

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