The Suncoast Organization’s Labor Safety

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Table of Contents

Research Methodology
Research Design
Research Methods
Data Collection Methods
Sampling Design
Data Analysis Procedures
References

Suncoast is an organization that works to maintain and restore the environment for other companies and businesses. The organization is concerned about the health of its employees involved in hotspot cleanup, but Suncoast has several problems: pollution, exposure to lead, and employee safety. In addition, there are difficulties in training and return on investment, which will affect the quality of services. Suncoast suggests using a group of instrumental methods to improve the company’s performance.

Research Methodology

The research methodology will be a quantitative that will gather the data, process it with statistical criteria and analyze it. The quantitative type is best because the purpose of research required identifying measurable values that affect the performance of Suncoast. The goals include determining the relationship between the two quantities, and tools are needed to measure them. The quantitative approach allows synthesizing all the data obtained and generate graphics and histograms that will enable an analysis.

Research Design

Research design is casual because the research will be descriptive and exploratory at the same time. It will combine elements of descriptive statistics that will be identified in advance with the analysis tools. It has a structured approach to establish which criteria are causes and which are the consequence (Asenahabi, 2019). One of the research questions is the relationship between environmental pollution and health: workers will have similar pathologies, but pollution is insignificant. It means that particulate matter is not the cause of people’s ill health.

Research Methods

Research methods will focus on description, analysis, correlation, and comparison. First, statistical methods based on the research hypothesis will be used. They will analyze the sample by frequency of occurrence of qualitative traits. After exposure, descriptive methods will be used to combine analytical and causal traits. In addition, these results will be compared to the average values of health indicators taken from medical reviews and articles or experiments conducted in business lines (Creswell, J. W., & Creswell, J. D., 2018). Training programs implemented in the company will be investigated using the survey method and cross-comparison of results. The focus group method will be the most appropriate because it will reduce the subjectivity of the study and increase its validity based on statistical and descriptive criteria.

Data Collection Methods

Data collection methods will differ depending on which hypothesis is to be tested. For the RO1 objective, there will be an observation that will include a study of employee health indicators. Based on the observation and tracking data, it can be tested to see if pollution affects overall well-being. In addition, the observation data will be verified with record analysis that will be collected before working at the contaminated sites.

For RO2, it is appropriate to use the observation and survey method because it will allow the actual time spent to be tracked. In addition, an input-output analysis method can be used, which will establish the relationship between the resources consumed and the outcome (Creswell, J. W., & Creswell, J. D., 2018). For goal RO3, the best approach is to use records analysis and observation because this hypothesis is based on measurable values. Objective RO5 is also based on quantifiable criteria (blood lead levels), so observation and systematization of knowledge will give the best results for the study.

Data for goal RO4 can be collected through surveys and experimentation because the study requires a comparison of the condition of a group in which one criterion has been transformed. The system’s state can be compared by creating a “base” of employee questionnaires (Asenahabi, 2019). The goal of RO6 can be achieved by the retrospective collection of various data, both at the company itself and from reliable scientific sources. The data analysis method is most likely the best approach because it will gather diverse views on the value of ROI.

Sampling Design

Large groups of employees will be used as a subset of the general population. One of the groups will be exposed and remediated, and the other will not be involved in the hot spots. A specific sample will be used for employee health assessment purposes: identifying lead levels, health effects of particulate matter, and amount of noise. It also will be used for RO6 because it is required to compare the return on investment for different areas. Objectives for RO2 and RO4 require random sampling because there is a specific criterion by which facilities in the group will be differentiated. However, this criterion will not be influenced by health factors, ROI, or anything else. Based on this, a random sampling survey will establish differences in the measure of effectiveness.

Data Analysis Procedures

Correlation would be the most appropriate test to test RQ1 because it would establish a relationship between the independent criterion (particulate pollution) and the dependent criterion (employee health).

Regression can be used for RQ2 because you can establish a relationship between lost work time (x) and the number of training costs (y). In addition, point estimates of each dependency coefficient can be obtained.

ANOVA analysis can be used for RQ3 because we need to estimate the effect of noise characteristics (group of independent criteria) on decibel level (dependent, i.e., measurable).

Correlation can probably be used for RQ4 because it will allow the evaluation of the contribution of individual variables (trainings) and assess the effectiveness.

For RQ5, it is worth using Student’s test because it will allow for reliable increases in lead levels after the intervention. It means that one can compare two groups of measurements with a normal distribution.

For RQ6, it is best to use ANOVA analysis of variance because it allows you to compare more than three data groups. The ROI of each service direction will serve as x (the result of the i-parameter measurement), and the estimated variance (difference) between measurements will serve as S.

References

Asenahabi, B. M. (2019). Basics of research design: A guide to selecting appropriate research design. International Journal of Contemporary Applied Researches, 6(5).

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5^th ed.). SAGE.

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