Effect of Job Satisfaction and Motivation †MyAssignmenthelp.com

Question: Discuss about the Effect of Job Satisfaction and Motivation towards Employees Performance. Answer: Introduction The present chapter provides the plan for analysing the data. It also provides a proposal of how to represent the data. The data analysis plan is the first step in ensuring that the investigation into the acquired data would be done in a systemic manner. The analysis plan should provide the research question and thus the steps that would be undertaken to do the research. A proper planning ensures that the data collected is adequate for the purpose of the research. In addition, the presentation of the plan guarantees that the data is presented in a form, which can be interpreted by the stakeholders. Hence, the data analysis process makes sure that the data is not misinterpreted and as a result lead to inappropriate conclusions or responses. Data is collected for evaluating a research. Whilst carrying out a research a model should be done as to how the data is to be collected. To evaluate the satisfaction of the employees a survey of the employees is the most suitable method. To accomplish the data analysis plan different techniques have been evaluated. Research Question The research question defines the plan through which the research would be done. (Taylor, Bogdan and DeVault 2015). For the present analysis, 18 questions have been asked. 17 of the questions have a closed type answer. The employees are asked to select from the choices provided. One open type question has been asked which evaluates the motivation factors of the employees. The questions are presented in a enquiry form as against a statement form. Two of the questions asked evaluate the demographic profile of the employees. The demographic profile assesses the gender and position of the employees in the present organization. Further other closed type questionnaires evaluates the level of satisfaction with different attributes. Research Philosophy In the present research, primary data would be collected for analysis of the level of satisfaction of the employees. The primary research provides a firsthand insight into the satisfaction level of the employees. A research philosophy can be either of Positivism, Interpretivism or Realism. The process of gaining worlds knowledge through the application of scientific methods is known as positivism (Eriksson and Kovalainen 2015). A positivist approach is used in analysing the primary data. Data has been collected from persons who have first hand knowledge of the organization. The information obtained through survey is interpreted through proper reasoning and logic. Positivist has a deep impact on business research. Data Collection method Both Quantitative and qualitative data collection method would be used for the survey. Quantitative data would be collected from the employees. The employees would be provided a questionnaire which would have closed ended questions. The closed ended questions would provide ample choices to the employees to report the satisfaction and motivation level of the employees. Adequate number of questions would be provided to the employees so that the level of satisfaction can be measured. For most of the survey questions the likert scale would be used to evaluate the responses. Frequency distribution of the responses and summary statistics would be considered for the analysis of the quantitative data. The use of frequency response to summarise the data has the advantage that the analysis can be done easily. Moreover, the interpretation of the table of frequency response can be interpreted easily without any specialist knowledge. Frequency distribution can also be represented easily with the help of a bar / pie chart to aid in the interpretation. Research Approach Research approach is classified as either being deductive or inductive. The methodology to be used by the researcher in doing the work is defined as the research approach. In the present research primary data has been collected from individual employees. A deductive approach would be used to analyse the data. The deductive approach is based on the principle of existing theory. The employees are then surveyed and the analysis of the survey would provide an answer to the level of satisfaction (Mackey Gass, 2015). Data Analysis and presentation Data analysis process may be Univariate, Bivariate or Multivariate. The simplest form of data analysis is univariate data analysis. Here the description of the variable is done with the analysis of the frequency of the responses. The number of cases in each of the responses of the sample represents the category values of the variable. A table representing the frequency of the responses to each of the classes is an ideal of representing the data. The percentage frequency of each of the classes can also be provided. A bar graph can be used to represent each of the classes. The height of the bar represents the frequency of the responses. Another method of representing the data is through the use of pie chart. The proportion of the slice of the pie represents the frequency of the responses. Bivariate analysis involves the presentation of the relationship of two variables. A table representing one variable in the row and the other in column can be used to represent the data in a tabular form. A bivariate analysis represents the causes and effect relationship of two variables. A clustered bar chart is used to represent the responses between the two variables. Tabular Presentation The presentation of the data is ideal when presented in a tabular form. The data is presented across rows and columns. For a quantitative data, each cell in the table provides information related to the frequency or percentage of the class. The rows are used to present the classes of the variables. Tabular form has the advantage that the data can be organised for further treatment and thus taking decisions. An extremely powerful and forceful form of analysis of the data is through careful examination of the frequency table. The overall location of the distribution is usually presented in a frequency / percentage table. The variability in the response would signify the level of satisfaction of the employees. Graphical Presentation A numerical data can be best be represented thorough graph. Through the aid of a graph, one can analyse how one class is related to another. A visual representation is an attractive and effective presentation form. Due to their visual effects, graphs/ charts can be interpreted easily as compared to tabular forms. They are also eye-catching and effective in conveying the meaning of a table. The bar chart is one of the most widely used technique to represent frequency table Different types of bar chart like a simple bar chart which represents the frequency of a class, a clustered bar chart which is used to represent a bivariate data can be used. In the present analysis a simple bar chart would be used. The comparison between classes in a variable can be represented by the height of a bar. The taller the height of a bar the more employees responded to the particular class. The difference in the heights of the bars represents the difference in response to the varied classes of the variable under study. A pie chart is effective when we would like to represent the percentage of response. The proportion of the circle is directly related to the percentage of the response of the class, Ethical Principles When considering a research a number of ethical principles are involved. The core principle involved in a research is that it should be beneficence to the society without any malfeasance. To do the present research prior permission would be taken from the organization to carry out the research. The purpose of the research and the implications of the research would also be provided to the organizations. The research would be carried only after obtaining informed consent from the organization. The employees would be made aware of the purpose of the survey. The employees of the organization would be selected through random probability sampling. There would be no compulsion for the employees to answer the survey. For the analysis of the only completed surveys would be used. The anonymity of the employees would be maintained always. The survey would be send thorough email. To maintain anonymity and confidentiality of the participants the information regarding the name or department of the employees would not be obtained. In addition, the data obtained thorough the survey would be kept confidential. It would also be ensured that the data as well as the analysis of the survey does not fall into the hands of the competitors. References Eriksson, P. and Kovalainen, A., 2015. Qualitative methods in business research: A practical guide to social research. Sage. Mackey, A. and Gass, S.M., 2015. Second language research: Methodology and design. Routledge. Taylor, S.J., Bogdan, R. and DeVault, M., 2015. Introduction to qualitative research methods: A guidebook and resource. John Wiley Sons.