Sun Coast Remediation Research Methodology, Design, And Methods

Sun Coast Remediation: Research Methodology, Design, and Methods

  • Introduction

    Before making any decisions regarding the promotion of occupational health and the reduction of dust and particulate matter exposure, Sun Coast should evaluate the current situation. To do so, it needs to formulate a research framework and carry it out in practice, obtaining data and analyzing it. Such a framework will usually consist of six parts: research methodology, research design, research methods, data collection methods, sampling design, and data analysis procedures.

    There is a variety of options for each of these aspects that can change based on the nature of the study. As such, it is critical to settle on a particular approach before beginning the study to avoid inconsistencies. This paper will detail each of the six aspects and provide the reasoning behind specific choices.

    Research Methodology

    There are two primary approaches to methodology, which are not mutually exclusive: qualitative and quantitative. The former discusses non-numerical data, trying to understand the meaning and process of a phenomenon. The latter works with numbers, applying statistics to data sets to determine whether specific relationships are likely to exist. In the case of Sun Coast, the mechanisms of dust and particulate matter exposure and their influence of health are already well understood. It is more important to understand whether it represents a substantial danger to the company’s employees and needs to be addressed. To that end, a quantitative approach would be more suitable than a qualitative one. It can determine whether PM is a danger and which methods are effective at reducing the hazard.

    Research Design

    Research designs are typically separated into three types: exploratory, descriptive, and causal. Each is intended for a particular type of problem, and therefore, the choice of research design can influence the outcome of the study substantially. The causal design may be the most appropriate in this case because it coincides with the research questions. According to Emilien, Weitkunat, and Lüdicke (2017), it is used to establish cause-and-effect relationships. Sun Coast wants to know whether PM influences health and whether numerous training and supervising methods can enhance the outcomes associated with the employees. Therefore, a design that will compares the lack and presence of those methods to determine the relationships among them is among the most appropriate.

    Research Methods

    The research technique is the particular paradigm used in order to govern the gathering plus analysis of information. Testing, descriptive statistics, relationship, and causal-comparative research are the most crucial approaches. The 1st technique is not practical due to the time needed and also ethical issues regarding knowingly revealing workers to possible health hazards. Every of the some other three is non-experimental and applicable to some extent, and it may be challenging in order to determine the greatest option. Patten plus Newhart (2018) state that causal-comparative research, which describe a present condition and attempt to identify the past causes, may be applied in order to health problems successfully. Because such, this method is suitable towards the particulars associated with the issue plus will be selected with this study.

    Data Collection Methods

    The study requires to obtain info about PM dimension, employee health plus training, and the particular number of ill days that these people have used. Statement would be the particular best approach with regard to the first information point, since it is not likely that employees or even the company happen to be noting down these types of statistics in the particular past. Employee wellness is an individual matter that these people usually do not necessarily record to the organization within detail. As like, self-reporting via studies seems to be the ideal approach for analyzing health concerns plus connecting them in order to various factors. Finally, workout sessions and wellness evaluations will probably be recorded simply by Sun Coast, as well as the human resource department should have information on the sick days taken by each employee. For these qualities, records analysis will be optimal because of the existence of accurate and processed information.

    Sampling Design

    One of the research questions in this study is whether the PM size is related to health outcomes among the staff. It implies that workers in different positions or facilities are consistently exposed to particles of different diameters. As such, to answer the question, the researcher will have to compare the health outcomes of people in these varying circumstances. The sample will have to include a substantial number of people from each such group to guarantee accuracy and be segregated based on this principle. Elmoselhy (2016) describes this approach as quota sampling, a subset of purposive sampling, which is part of the nonprobability sampling design approach. The workers will have to be separated into other groups to answer other research questions.

    Data Analysis Procedures

    RQ­­­1 is concerned with the differences in the means of a variety of populations that internally share the same factor, and the ANOVA test is the most suitable as a result. RQ2 discusses safety training improvements, the results of which change independently based on the employee in question, and the reduction of lost-time hours. A correlation test for the two variables would be the most appropriate in this case. In RQ3, the same considerations apply, and the same variety of analysis should yield the best results. RQ4 has two dependent variables and one independent one, which makes a regression analysis the most appropriate.

    The same method is suitable for RQ5, which features two independent variables and one dependent one. Lastly, in RQ6, several populations and their means are compared, which makes ANOVA the most appropriate to test its hypotheses.


    Elmoselhy, S. A. M. (2016). Design for profitability: Guidelines to price effectively manage the particular development procedure for complicated products. Boca Raton, FL: CRC Push.


    Emilien, G., Weitkunat, R., & Lüdicke, F. (eds. ). (2017). Consumer perception of product risks and benefits. Cham, Switzerland: Springer.

    Patten, M. L., & Newhart, M. (2018). Understanding research methods: An overview of the essentials (10th ed. ). New York, NY: Routledge.

    Leave a Reply

    Your email address will not be published. Required fields are marked *