Research Design

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UnitIIResearchMethods.docx

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Sun Coast Remediation

Michell Muldrow

Columbia Southern University

Research Methods

Todd Senft

August 10, 2021

Research Objectives, Research Questions, and Hypotheses

This research is designed to provide an insight into a safe and healthier work environment for the employees working in hazardous and contaminated work sites that comes in contact with employees. This study's first and foremost objective is to find out any relationship between the microns or particulate matter and employee health. The second objective of the study under observation is to understand if the training has been successful and helpful in decreasing the effects of lost-time hours, and if they have been successfully working for employees, then how the lost-time hours can be predicted from the overall training cost. Another objective of the study is to find out if the collected data can be used to estimate the level of decibels for the work environment prior to putting the employees on work at the particular site. The fourth objective of the study is to determine if the new training program proves to be more effective than the previous one. The fifth objective of the research is to determine if the level of lead in the blood of employees working there has increased. The last objective of the research understudy is to find out if there are any differences in all the lines of services for the return of investment.

Research Questions and Hypothesis

Upon reviewing the data collected, we can induce the following research questions and hypotheses for each of the questions under observation to provide us with the research objective, question, null hypothesis, and alternative hypothesis of the corresponding statement.

RO1: To determine if there is a relationship between microns and the health of employees on site.

RQ1: Is there a relationship between particulate matter and employee health?

Ho1: There is no statistically significant relationship between the annual sick days per employee and microns on site.

Ha1: There is a statistically significant difference between microns on-site and annual sick days per employee.

RO2: To determine if lost-time hours have been reduced by training.

RQ2: Is the training successful in determining the lost-time hours?

Ho2: Training and lost-time hours have no statistically significant relationship.

Ha2: There is a statistically significant relationship between training and lost-time hours.

RO3: To determine if the collected data can be used to predict the decibels levels of the work environment.

RQ3: Is it feasible to predict the decibels levels of the work environment from the data collected?

Ho3: A decibel level of the work environment cannot be predicted statistically from the collected data.

Ha3: A decibel level of the work environment can be predicted statistically from the collected data.

RO4: To determine whether the new training program has been effective than the previous ones.

RQ4: Is the revised training program more effective than the prior training programs?

Ho4: Group A and B have no statistically significant relationship.

Ha4: A statistically significant relationship between the scores of group A and B have been recorded.

RO5: To determine if the lead level in the blood of employees on-site has increased.

RQ5: Is there an increase in the lead levels of employees at work?

Ho5: The increase in blood-led levels of employees is not statistically significant.

Ha5: The blood lead levels of employees pre and post-exposure are statistically significant.

RO6: To determine if there are any differences in return-on-investment on all the lines of services.

RQ6: Are there any differences in return-on-investment on all the lines of services?

Ho6: The difference in return-on-investment among all the lines of services is not significant statistically.

Ha6: The difference in return-on-investment among all the lines of services is significant statistically.

References

Creswell. (2018). Research Design, Qualitative, quantitative and mixed-method approach (5th ed.). Thousand Oaks, CA Sage.

Pope. (2015). Qualitative Research Methods: a data collector’s field guide. Family Health International.

Mason, J. (2013). Qualitative Research. Thousand Oaks: Sage Publications.

Lippmann, M. (2017). The current inadequacy of exposure assessment and controls for airborne particulate matter mixtures. Journal of exposure sciences and Environmental Epidemiology, 27(5), 539-541.