Introduction
After considering the main issues of the study, the next important step is to determine the methodological aspects. This stage is critical because, with its help, it is possible to achieve more detailed and informative results that will assist in highlighting recommendations for the Sun Coast company to solve its main problems. Thus, this section is engaged in determining the most effective methodologies, designs, and research methods. Moreover, the methods of collecting the necessary data, the associated procedures, and the sampling design will also be determined.
Research Methodology
The research methodology occupies one of the priority places in constructing the course of scientific work. It implies specific procedures used to identify, process, and analyze data (Creswell & Creswell, 2018). This work is likely to be based on a quantitative methodology. This is since this type of scientific work is based on numerical indicators that prevail in this case. Moreover, the rationale for using this approach also lies in the fact that it provides a detailed insight into the derivation of the problem and focuses more on suggesting causes, effects, and possible relationships between the studied indicators.
Research Design
The design of the study implies drawing up approaches for the consistent and logical integration of aspects of the study. A casual design was chosen for this work since it considers the cause-and-effect relationships between the problems deduced. For example, this design will help determine the relationship between high sound exposure in production and workers’ health.
Research Methods
For such indicators as job site particle pollution, sound-level exposure in Suncoast’s environment, blood lad levels, return on investment, training program, and the relationship between staff safety training and employee’s health, such research methods as correlation and causal-comparative methods will be used. This choice is because these are quantitative data that require these approaches to the collection of data.
Data Collection Methods
To test the hypotheses that were put forward in the previous section in the most productive way, quantitative data will be needed. These hypotheses relate to such problems as job-site particle pollution, sound-level exposure in Sun Coast’s environment, and blood lead levels. This type of data will be collected by conducting a records analysis to measure key indicators. Quantitative data is also needed for aspects like the training program, the difference between return on investment, and the connection between employee health and staff safety training.
Sampling Design
The sampling design that was most likely used in the work is random sampling. This method was applied because of the generalization of indicators concerning all employees of the company and the identification of relationships, and how the identified problems affect the productivity and efficiency of the organization.
Data Analysis Procedures
For the study data, elements of descriptive statistics were obtained at the initial stage. Moreover, deep statistical analysis procedures detected potential relationships and patterns between variables. Thus, correlation is the preferred procedure to test the RQ1 hypotheses since the interest is whether a relationship exists between a particular matter size and an employee’s health, the strength of the relationship, and the direction of the relationship. To test RO2, a simple regression was used to determine the relationship between staff safety training and employees’ health. Multiple Regression Data was applied to RO3 to determine how much sound-level exposure in Sun Coast’s environment harms employees’ hearing. An independent t-test was used for RO4, as the emphasis was on comparing the effectiveness of initial training and revised training on employee productivity. Paired Samples t-Test was used for RO5, which implied definitions of blood lead levels before and after exposure. The ANOVA test as a data analysis procedure was chosen for RO6 because it requires determining the difference between the return on investment for all service lines.
Reference
Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). SAGE.
