RMRP#7

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Research Methodology, Design, and Methods

Research Methodology, Design, and Methods

The Sun Coast is focused on promoting the welfare and ensuring the safety of its employees. It has engaged in extensive research to determine the appropriate solutions in reducing and mitigating several issues and risks involved in the organization. The study aims to determine whether there is a relationship between the particulate matter and the employees' exposure and its impact on their health. The research also aims to determine how noise levels and lead poisoning can be influenced by employee training. The objective of the study is thus to compare the safety training material to evaluate the effectiveness in managing the established issues in the company. The research will utilize quantitative methodology because it is effectively rooted in positivism approaches. This approach will effectively determine the correlation between specific aspects and enable a more straightforward interpretation of the data collected.

Research Methodology

Quantitative methodology is the most appropriate approach for this study. This is because quantitative methodologies are best rooted in positivism philosophies, which effectively illustrate different business problems (Loewen et al., 2019). This enables examining the relationship between the particulate matter and employee health and the statistically significant correlation between the size of particulate matter and employee health. This is because the relationship is best determined using statistical methods, effectively determined through quantitative approaches. Quantitative methodology is better suited for this study than qualitative methods because it utilizes more statistical data and analysis.

Research Design

The study will utilize a descriptive non-experimental research design. This is because descriptive approaches are best suitable in quantitative methods, especially in explaining statistical data. It will also be effective for this study because it is highly structured and uses statistical analysis effective for testing formal hypotheses.

Research Methods

Descriptive statistical research methods shall be incorporated with correlational methods to ensure the reliability of the research, mainly since the study cannot be conducted in a controlled experiment (Mishra, 2019). Combining the two research methods will effectively lead to a better examination of the relationship between the size of particulate matter and employee health and the relationship between the time lost in safety training and effectiveness in employee safety performance.

Data Collection Methods

Several data collection methods shall be used in this study, including online surveys through emails and telephone. Direct observation shall be utilized where applicable, especially in collecting data that does not require surveys or questionnaires (Loomis et al., 2018). Record analysis will also provide additional information, especially about the organization's employee details and different details about particulate matter, training, sound level exposure, lead poisoning, and information on return on investments.

Sampling Design

The sample design suitable for this study is random sampling to ensure that the sample used is unbiased and represents the target population efficiently. The study focuses on elements that can be generalized in different organization sectors (Zhao et al., 2019). Therefore, random sampling will be effective in obtaining the most appropriate sample type for the study.

Data Analysis Procedures

The study shall utilize correlation in determining the relationship between particulate matter's size and employee health. The main focus is to ascertain the statistical relationship between the independent variable, particulate matter, and the dependent variable, employee health (Loomis et al., 2018). Therefore, correlation shall provide a practical test for hypothesis 1. Paired sample t-tests will be suitable for testing and determining whether the time lost is related to employee safety training, the difference between the decibel levels, and the health of the work environment. This is because it shall effectively provide the relationship between the different variables involved.

References

Loewen, S., & Godfroid, A. (2019). Advancing quantitative research methods. In The Routledge handbook of research methods in applied linguistics (pp. 98-107). Routledge. https://www.taylorfrancis.com/chapters/edit/10.4324/9780367824471-9/advancing-quantitative-research-methods-shawn-loewen-aline-godfroid

Loomis, D. K., & Paterson, S. (2018). A comparison of data collection methods: Mail versus online surveys. Journal of Leisure Research, 49(2), 133-149. https://www.tandfonline.com/doi/abs/10.1080/00222216.2018.1494418

Mishra, P., Pandey, C. M., Singh, U., Gupta, A., Sahu, C., & Keshri, A. (2019). Descriptive statistics and normality tests for statistical data. Annals of cardiac anesthesia, 22(1), 67. https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6350423/

Zhao, Z., Christensen, R., Li, F., Hu, X., & Yi, K. (2018, May). Random sampling over joins revisited. In Proceedings of the 2018 International Conference on Management of Data (pp. 1525-1539). https://dl.acm.org/doi/abs/10.1145/3183713.3183739