Quantitative and Qualitative Data Analysis

            The data is analyzed by using SPSS software which is considered as the best software for analyzing the data.  The use of the SPPS can be reduces the chances of the data manipulation. It is good software for generating charts and graphs in effective manners.  The variance and relationship also can be determined among the variables by using this software. The data can be analyzed in two research methods and this part of the paper proposes the quantitative analysis of the data. The various analyses are conducted in this software by inputting the data in this software.  The analysis is conducted to identifying the answers of the various questions while working in the Consultancy business. These all task and questions are assigned by the directors of a medium-sized company.  These questions are relates to the Hr functions of the firms.

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

Answer:

        For measuring the age distribution of the employees along with its percentages of the frequencies are generated by the SPSS. It shows the complete percentages of the workforce who are working in this organization

Interpretation of Quantitative and Qualitative Data Analysis

        The age distribution of the workforce explained in the frequency distribution table along with the frequencies and percentages. There are total 70 employees who are working in the consultancy firms who have different ages. From these 70 employees there is only one employee who did not mention his age. It means there is only one missing valued for the age’s distribution of the employees. The above table shows that there are only 7 employees whose age is less than 25 years old and they are 10.1 percent of the total respondents. Whenever 23 employees are belong to the age group of the 25-35 years of the age who are lies in the maximum percentages of the employees which is the 33.3 percents.  It means 1/3^rd employees of the consultancy firms are the ages of the 25-35 years old. 13 employees are belonging to the age group of the 36-45 years age group who are the 18 percent of the total respondents. 18 employees of the firm are lies between the 36-45 years of the age group and they are 26 percent of the total employees in this company. 11.6 percent of the total respondents are more than 55 years old.

        The chart of the histogram is used to illustrating the distribution of the ages of the workforce in the firms. It shows the number of the respondents with its age.  The codes which are showing on the x-axis of the histogram shows the various ages group which are selected to measure ages of the respondents.  The means is 2.96 which show the average ages of the respondent that is round about the 39.1.

What proportion of employees belongs to each ethnic group? (Use, for example, Bar Graph /Pie Chart)

Interpretation of Quantitative and Qualitative Data Analysis

        The percentages of the ethnicity of the employments are explained in the above given tables. There are total 70 employees who are working in the consultancy firms and they are belonging to various ethnicities. The above table shows that there are only 36 employees whose belongs to the white ethnicity and they are 51.4 percent of the total respondents. This is the maximum percentage of the employees. Whenever, 18 employees are the Asian whore the 25 percent of the total respondents. 14 employees are from west India who is the 20 percent of the total respondents. 2 employees of the firm are belongs to African community they are 2.9 percent of the total employees in this company.

        In the above given pies chart the blue section of the pie chart which have occupied the maximum place on the graph is represent the percentages of the employees who are belongs to the white community according to their ethnicity. The green colour is showing the percentages of the Asian respondents. Meanwhile the skin colour is used for West Indian and purple for the African employees.

What is the average income? (Use, for example, Descriptive Statistics, Descriptives)

        The average income of the employees of is measured by using the descriptive statics for the income of the employees. It shows the maximum income of the employees is 10500 and the minimum income is 5900 meanwhile the average income is 7819.12 for the employees.

How number of is years worked related to salary, if at all? (Use, for example, Linear Regression)

Interpretation of Quantitative and Qualitative Data Analysis

        The regression analysis is showing the positive significant relation among the years worked mean experience and salaries. These positive relationships by increasing the expense the salaries will increase as well. These booth variables have significant relationship because p value is less 0.05.

How different are the average salaries of the different skill categories? (Use, for example, One-way ANOVA)

Interpretation of Quantitative and Qualitative Data Analysis

        It is usually known as the analysis of the variances which is used to testing the equality of the several means. In this table the value of the F statics is 3.263 which lead towards the moderate fitness of the model. It shows by increasing the skill of the employees his salary will also increase.

Is there a significant difference between the proportion of males and females who attended the firm’s meeting last month? (Use, for example, Chi-Squared)

Interpretation of Quantitative and Qualitative Data Analysis

        Since the statistical test’ asymptotic significance is greater than the 0.05 i.e. standard value of alpha, the hypothesis is disprove. For Chi-square test, the p-values is .650that is more than 0.05 and 0.01, it means that null hypothesis can be accepted at 5% level of significance while we cannot accepted null hypothesis in the favour of alternative hypothesis at 1% level of significance. But the standard value of alpha is 0.05 because there are some chances of error so we reject the null hypothesis in accept alternative hypothesis. (Fisher, 2006).

Qualitative Data Analysis

        The research study design starts by the selection of the topics along with its paradigm which is commonly refer as the beliefs frame works methods and values which are takes place during the research. The methodology of the qualitative can be expressed by explaining the Qualitative research first and the qualitative research methods follow the neutralist research paradigm. It can be defined as “process of inquiry which is used to understanding the human and social problems which is required to building complex pictures and providing solutions. From the several types of the qualitative research methods, it is referred as the extensive in nature and it have required extensive information for the biography of the topics. This way provides the wide solutions for the subjected topics (Computing Dcu Ie, 2019).

        The qualitative research methods explain about the theories and concepts of the various authors related to the particular topic.  For analysing the qualitative data there are the major key issues which can be occur to the researchers. These are related to the transcribing of the qualitative data. The interactive nature of the process is also includes in this. There are the two major of the approaches of the qualitative data which are explained in the text book of the great enterpernurer. These approaches are deductive and inductive research report.

        The data can be analyzed in the research projects according to the qualitative perspective by collecting extensive information of the various authors related to the emerging topics.  This information will be collected in the second section of the research projects under the headings of the literature review along with the references of the various scholars and researchers.  It will contextualize the research by understanding the contextual and historical perspectives of this topic. The research can be contextualizing by using the interpretive approach which is used to bring him for narrative approaches of the research study. The qualitative research ethics is considered as the easy ways of the research methods.

        For this research study I will choose the snow ball sampling methods because its good ways to select sample and the ration of the complexity and difficulties is to least in this method. It is also one of the times saving ways for selecting the sample. In this sampling method the selection of the items depends upon the chance and probability means the sample dint decided and it can be something or someone with the range of the selected sales.  Commonly this way sampling method is also known as the method of chances.

        There are the several sampling methods which can be used in the qualitative research methods.  These methods are the involved as; cluster sampling, Snowball sampling, Purposive sampling, Theatrical sampling.

        In the cluster sampling of the qualitative data analysis the researcher will select the group of the individual and participants for collecting the data.  The data is collected by the interviews and observation in these methods.  The selection of the sample is depends upon their being determinants and identifiable features and characteristics of the variables. In the process of the snow ball sampling the data is collected by using the networks of the at where the initial sample can be consisting on the one or few peoples. According to these methods the data can be collected in such manner by posting the question on any social media sites for knowing about the perspective of some problems. Than the people will be comment on that post to pre3sent their ideas and it would be good ways to collecting the data by using the observation methods in the qualitative data analysis (Mark Saunders, 2009).

References of Quantitative and Qualitative Data Analysis

Computing Dcu Ie, 2019. Characteristics of Good Qualitative Research. [Online]
Available at: https://www.computing.dcu.ie/~hruskin/RM2.htm

Fisher, R., 2006. Statistical Methods For Research Workers. s.l.:Cosmo Publications.

Mark Saunders, P. L. A. T., 2009. Research Methods for Business Students. s.l.:Prentice Hall.