26 Sep Unit VIII PowerPoint Presentation Instructions Create a PowerPoint presentation for the Sun Coast Remediation research project to communicate the findings and suggest recommendatio
Unit VIII PowerPoint Presentation
Instructions
Create a PowerPoint presentation for the Sun Coast Remediation research project to communicate the findings and suggest recommendations. Please use the following format:
- Slide 1: Include a title slide.
- Slide 2: Organize the agenda.
- Slide 3: Introduce the project.
- Statement of the Problems
- Research Objectives
- Slide 4: Describe information gathered from the literature review.
- Slide 5: Include research methodology, design, and methods.
- Research Methodology
- Research Design
- Research Methods
- Data collection
- Slide 6: Include research questions and hypotheses
- Slides 7 and 8: Explain your data analysis.
- Slides 9 and 10: Explain your findings.
- Slide 11: Explain recommendations including an explanation of how research-based decision-making can directly affect organizational practices.
- Slide 12 and 13: Reflect on your experience throughout the course. Provide some of the things you learned and some of the course’s takeaways that you can apply to your current or future job.
- Slide 14: Include references for your sources.
Your PowerPoint must be a minimum of fourteen slides in length (including the title slide and a reference slide).You are required to narrate your presentation. Utilize the note section to write out your transcript per slide. Ensure the presentation you create is your own authentic work. Ensure that you follow APA guidelines and cite any resources you use.
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TheSunCoastRemediationresearchprojectResearchMethods.docx
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Unit1LiteratureReviewResearchMethods.docx
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UnitVIScholarlyActivityResearchMethodsJovan.docx
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UnitVResearchMethodsJovanMaires.docx
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SunCoastDataFiles_StudentGuide.xlsx
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UnitIIIScholarlyActivityResearchMethodologyDesignandMethodsJovanMaires.docx
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UnitIVScholarlyActivityResearchMethodsJovanMaires.docx
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The Sun Coast Remediation research project.
Jovan Maires
Columbia Southern University
Research Methods
Dr. Renee Norris-Jones
23 August 2022
Research Objectives, Research Questions, and Hypotheses.
Introduction
This section of the research aims to develop and discuss the research objectives, research questions, and hypotheses. Sun Coast is a government organization that offers remediation services to private businesses, governmental organizations, and non-government organizations. According to the Sun Coast website, it provides air monitoring, soil remediation, water reclamation, and health and safety training services to its customers. Sun Coast organization is facing various challenges including, waste pollution, ineffective safety, and health training, sound pollution, unfamiliar employee training programs, increased blood lead levels, and unpredictable return on investment.
Research objectives.
Research objectives help the researcher to focus on the key variables and provide guidance through the research process to achieve the desired outcome (Kumar, 2018). The following are the research objectives for the Sun Coast Remediation project:
1. To assess the environmental impacts of the waste generated.
2. To evaluate the effectiveness of employee training on safety and health measures.
3. To determine the effects of sound pollution caused by the organization
4. To determine the consistency and outcome of the current employee training program.
5. To assess how the relevant department has addressed blood-lead levels among employees.
6. To evaluate the return on investment made by each service provided by the company to customers.
Research Questions and Hypothesis
The research questions are developed from the study’s objectives. Weathington, Cunningham & Pittenger (2010) suggests that a well-structured hypothesis allows the researcher to utilize methodologies that are scientific and valid. A hypothesis helps the researcher to assume the probability of research failure and progress.
Research Objectives, Research Questions, and Hypotheses
RO1: Assess the environmental impacts of the waste generated.
RQ1: What is the relationship between the environment and waste generated?
Ho1: There is no statistically significant relationship between the environment and waste generated.
Ha1: There is a statistically significant relationship between the environment and waste generated.
RO2: Evaluate the effectiveness of employee training on safety and health measures.
RQ2: What is the effectiveness of employee training on safety and health measures?
Ho2: The training methods used don't indicate any efficiency in safety and health measures.
Ha2: The training methods used indicate efficiency in safety and health measure.
RO3: Determine the effects of sound pollution caused by the organization.
RQ3: What are the effects of sound pollution caused by the organization?
Ho3: Noise pollution experienced in the organization can not have any effect at all.
Ha3: Noise pollution experienced in the organization have many effects.
RO4: Determine the consistency and outcome of the current employee training program.
RQ4: What is the consistency and outcome of the current employee training program?
Ho4: The current employee training program is not consistent and has poor outcomes.
Ha4: The current employee training program is consistent and has better outcomes.
RO5: Assess how the relevant department has addressed blood-lead levels among employees.
RQ5: How does the relevant department address blood-lead levels among employees?
Ho5: The relevant department cannot address blood-lead levels among employees
Ha5: The relevant department can address blood-lead levels among employees
RO6: Evaluate the return on investment made by each service provided by the company to customers
RQ6: Is there a relationship between each of the services provided by the company to customers
and return on investment made?
Ho6: There is no considerable relationship between each of the services provided by the company to customers
and return on investment made
Ha6: There is a relationship between each of the services provided by the company to customers
and return on investment made.
References
Kumar, R. (2018). Research methodology: A step-by-step guide for beginners. Sage.
Suncoast General Contracting and Remediation, Inc. (n.d.). About the company. https://www.dnb.com/business-directory/company-profiles.suncoast_general_contracting_and_remediation_inc.3ec342716a5414d4797c1de98cfaa24c.html
Weathington, B. L., Cunningham, C. J., & Pittenger, D. J. (2010). Research methods for the behavioral and social sciences.
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Unit 1 Literature Review
Jovan Maires
Columbia Southern University
Research Methods
Norris-Jones, Renee
August 16, 2022
Unit 1 Literature Review
Particulate Matter (PM) Article
Ostro, B., Hu, J., Goldberg, D., Reynolds, P., Hertz, A., Bernstein, L., & Kleeman, M. J. (2015). Associations of mortality with long-term exposures to fine and ultrafine particles, species and sources: Results from the California Teachers Study Cohort. Environmental Health Perspectives, 123(6), 549-556.
Air contamination is a significant subject in word-related and populace wellbeing fields of examination. The concentrate by Ostro et al. (2015) zeroed in on the well-being impacts of fine and ultrafine particulate matter by analyzing mortality in select populaces.
The study used a quantitative methodology with a companion plan and incorporated a statewide partner of more than 100,000 ladies followed somewhere in the range between 2001 and 2007. The Cox relative perils model, alongside expressive measurements and awareness investigations, was utilized to decide the impacts of contamination on mortality. The discoveries of the review propose that there is no measurably huge relationship between ultrafine particulate matter openness and all-cause mortality, albeit individual parts of ultrafine PM added to ischemic coronary illness mortality (Ostro et al., 2015).
The article connects with the issue of Sun Coast since it shows the conceivable relationship between certain parts of ultrafine particulate matter with health results. The exploration can have a positive hierarchical effect since it featured the significance of estimating and lessening ultrafine PM contamination in the working environment.
Safety Training Effectiveness Article
Yu, I. T., Yu, W., Li, Z., Qiu, H., Wan, S., Xie, S., & Wang, X. (2017). Effectiveness of participatory training in preventing accidental occupational injuries: A randomized-controlled trial in China. Scandinavian Journal of Work, Environment & Health, 43(3), 226-233.
The study utilized a quantitative, cluster-randomized design with an example size of 1654 specialists, which added to the dependability and legitimacy of the discoveries. The outcomes propose that participatory preparation assumes a critical part in diminishing the pace of unplanned word-related wounds, including re-injury rates (Yu et al., 2017). The article connects with the issue of security preparing adequacy in Sun Coast since it shows the capability of participatory preparation to decrease lost-time hours. This study is valuable as it features the expected advantages of preparing while additionally proposing conceivable preparation plans that could be utilized in Sun Coast. Consequently, the article has a positive organizational impact because of the pertinence and significance of the data they give.
Sound-Level Exposure Article
Han, L. M., Haron, Z., Yahya, K., Bakar, S. A., & Dimon, M. N. (2015). A stochastic simulation framework for the prediction of strategic noise mapping and occupational noise exposure using the random walk approach. PloS One, 10(4), 1-28.
As one of the issues identified in the evaluation is foreseeing commotion openness, the article on a stochastic reenactment system for foreseeing clamor levels was likewise chosen. The creators of the report have a Master's certification in Engineering and work in the Malaysian instructive area, and that implies that they have fitting capabilities for directing this kind of examination. The study followed a quantitative, case-based plan determined to create and test a model for commotion level expectation (Han, Haron, Yahya, Bakar, and Dimon, 2015).
The outcomes propose a high exactness of expectations with low error margins, implying that the model can be utilized in Sun Coast to foresee sound-level openness or foster a comparative technique. Consequently, the article can have a positive hierarchical effect by adding to Sun Coast's word-related security practices.
New Employee Training Article
Yu, I. T., Yu, W., Li, Z., Qiu, H., Wan, S., Xie, S., & Wang, X. (2017). Effectiveness of participatory training in preventing accidental occupational injuries: A randomized-controlled trial in China. Scandinavian Journal of Work, Environment & Health, 43(3), 226-233.
Since two of the issues at Sun Coast were connected with occupational health and safety training, the articles connected with this worry were surveyed as a feature of the examination. The study utilized a quantitative, bunch randomized plan with an example size of 1654 laborers, which added to the unwavering quality and legitimacy of the discoveries. The outcomes propose that participatory preparation assumes a huge part in diminishing the pace of unplanned word-related wounds, including re-injury rates (Yu et al., 2017). The article connects with the issue of well-being preparation adequacy in Sun Coast since it shows the capability of participatory training to lessen lost-time hours.
Lead Exposure Article
Gorce, J. P., & Roff, M. (2016). Immediate screening of lead exposure in the workplace using portable X-ray fluorescence. Journal of Occupational and Environmental Hygiene, 13(2), 102-111.
The purpose of the research was to test the general viability of two conventions for hand-cleaning to diminish lead buildup on laborers presented to lead. As made sense by the creators, "a hand cleaning convention ought to expand the recuperation of toxic buildups present on representatives' hands in a financially savvy and reproducible way" (Gorce and Roff, 2015, p. 699). The review followed a quantitative, field trial system and found a self-cleaning convention that pre-owned four sequential wipes to restrict lead buildup by more than 80% (Gorce and Roff, 2015). This exploration can have a critical hierarchical effect as it gives a fast and proficient answer for lessening the impact of lead openness on specialists, which might be executed in Sun Coast.
Return on Investment Article
Gorce, J. P., & Roff, M. (2015). Hand self-wiping protocol for the investigation of lead exposure in the workplace. Journal of Occupational and Environmental Hygiene, 12(10), 699-707.
Sun Coast offers four lines of administration to its clients, including air checking, soil remediation, water recovery, and wellbeing and security preparation. Sun Coast might want to be aware assuming each line of administration offers a similar profit from speculation. Profit from speculation information is accessible for air observing, soil remediation, water recovery, and wellbeing and security preparing projects it's memorable's critical that contributing implies dangers, and speculation choices ought to be founded on your objectives, time skyline, and hazard resistance. The return and chief worth of speculations will vacillate as economic situations change. When sold, speculations might be worth pretty much than their unique expense.
References
Gorce, J. P., & Roff, M. (2015). Hand self-wiping protocol for the investigation of lead exposure in the workplace. Journal of Occupational and Environmental Hygiene, 12(10), 699-707.
Ostro, B., Hu, J., Goldberg, D., Reynolds, P., Hertz, A., Bernstein, L., & Kleeman, M. J. (2015). Associations of mortality with long-term exposures to fine and ultrafine particles, species and sources: Results from the California Teachers Study Cohort. Environmental Health Perspectives, 123(6), 549-556.
Han, L. M., Haron, Z., Yahya, K., Bakar, S. A., & Dimon, M. N. (2015). A stochastic simulation framework for the prediction of strategic noise mapping and occupational noise exposure using the random walk approach. PloS One, 10(4), 1-28.
Yu, I. T., Yu, W., Li, Z., Qiu, H., Wan, S., Xie, S., & Wang, X. (2017). Effectiveness of participatory training in preventing accidental occupational injuries: A randomized-controlled trial in China. Scandinavian Journal of Work, Environment & Health, 43(3), 226-233.
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Unit VI Scholarly Activity Research Methods
Jovan Maires
Columbia Southern University
Research Methods
Dr. Renee Norris-Jones
19 September 2022
Data Analysis: Hypothesis Testing
When utilizing data from the Sun Coast, several approaches to sampling and testing are used to validate a hypothesis. The t-test and the analysis of variance (ANOVA) are kinds of statics that may be used to test data. The t-test can be used for correlation analysis, while ANOVA can be used for regression analysis. Testing data across categories such as PM, safety training, lost-time hours, sound frequency, and so on, where regression techniques were used, showed variances in each presented data set. To differentiate between a large number of variables within a group using t-tests and ANOVA testing, predictions are expressed in the form of two hypotheses (null or alternative) (Creswell & Creswell, 2018).
Independent Samples t-Test: Hypothesis Testing
Ho4: The efficiency of the updated training program is not statistically correlated with that of the previous training program.
Ha4: The efficacy of the updated training program is significantly correlated with that of the previous training program.
Group A Training Scores |
Group B Reviewed Scores |
|
Mean |
69.89273839 |
85.062194 |
Variance |
123.004 |
27.0 |
Observation |
61 |
61 |
Hypothesized Mean Difference |
0 |
|
df |
87 |
|
tStat |
-9.70020802563 |
|
P(T<=t) one-tail |
9.700145E-16 |
|
t Critical one-tail |
1.7625596 |
|
P(T<=t) two-tail |
1.9478E-15 |
|
t Critical two-tail |
1.975082 |
According to the findings, the mean values for Group A with the original training scores are significantly lower than those for Group B with the updated training ratings. The average score for Group A comes in at 69.79, but the average score for Group B is 84.77. Results show that the p-value of 9.67E-16 is less than the alpha value of 0.05. Hence the alternative hypothesis that there is a statistically significant difference between the means of the dependent variables for Groups A and B is accepted, and the null hypothesis is rejected. This signifies acceptance of the alternative hypothesis and rejection of the null hypothesis.
Dependent Samples (Paired Samples) t-Test: Hypothesis Testing
Ho5: We found no statistically significant relationship when examining the correlation between employee blood lead levels and the amount of lead in their workplace.
Ha5: A correlation may be statistically significant between increasing lead exposure at workplaces and elevated blood lead levels in workers.
t-Test: Paired two samples for means
Pre-Exposure µ/dl |
Post-Exposure µ/dl |
|
Mean |
31.85714286 |
33.30571429 |
Variance |
151.458333 |
155.5 |
Observation |
49 |
49 |
Pearson Correlation |
0.912836043 |
|
Hypothesized Mean Difference |
0 |
|
df |
47 |
|
tStat |
-1.920802563 |
|
P(T<=t) one-tail |
0.030776357 |
|
t Critical one-tail |
1.76774196 |
|
P(T<=t) two-tail |
0.059552714 |
|
t Critical two-tail |
2.010634758 |
Based on the findings, the mean values for Group A with pre-exposure and Group B with post-exposure are slightly lower. The mean score for Group A, which was pre-exposed to the agent, was 31.86, whereas the mean score for Group B, which was exposed to the agent, was 33.30. The findings also reveal that the p-value is 0.0626, slightly higher than the alpha level of 0.05. Because of this, the null hypothesis is accepted, while the alternative hypothesis is rejected. This suggests no significant link exists between the mean values for pre-exposure and post-exposure. This conclusion can be drawn from the data presented here.
ANOVA: Hypothesis Testing
Ho6: Statistical evidence can show no correlation between the return on investment and the many different service lines.
Ha6: The correlation between return on investment and the number of service lines offered is statistically significant.
ANOVA: Single Factor
Summary
Group |
Count |
Sum |
Mean |
Variance |
A= Air |
15 |
177 |
9.0 |
9.102678 |
B= Soil |
15 |
183 |
8.1 |
3.536829 |
C= Water |
15 |
142 |
6 |
6.673920 |
D= Training |
15 |
109 |
5.4 |
1.35472 |
ANOVA
Source of variation |
ss |
df |
MS |
F |
p-value |
Fcri |
Between groups |
180.2 |
3 |
60.9222 |