RESEARCH METHODS UNIT III ASSGNMNT

Introduction, Research Objectives, Questions, and Hypothesis

Introduction

Sun Coast is an organization that engages in cleaning contaminated sites. However, during the course of the cleaning exercises, its employees face health hazards such as exposure to lead and particulate matter that affect their health. Consequently, it affects performance; more employees get sick due to exposure to pollutants their productive hours reduces due to frequent sick leaves. Whereas the organization has, mechanisms of mitigating against exposure to pollutants on the work site such as by providing respirators or ear plugs to employees; sometimes, the tools used are not appropriate in preventing them from exposure. For instance, contaminated sites with particulate matter below 2.5 microns exposes employees to upper respiratory infections because respirators cannot prevent them from being inhaled. Furthermore, such small particulate matter can float in the ambient for weeks hence exposing the organization’s employees to prolonged risk.

Research studies reveal that exposure to poor air quality leads to development of upper respiratory diseases such as asthma (Jiang, Mei & Feng 2016). There are six problems affecting the organization, they are; air quality problems that included high levels of particulate matter in the air, there are concerns about the effectiveness of safety training, the organization experiences challenges of sound level exposures. Furthermore, there are lead exposure and problems with return on investment that negatively affected employees’ health. The research project determines the association of these problems to the variables such as employee sick leave among others.

Research Objectives

The research project will focus on meeting the following objectives

· To determine the relationship between the size of the particulate matter and the number of sick leave days.

· To explain if there is any association between the level of lead exposure and the rate of return on investment

· To determine the employee’s blood pressure and the level of noise exposed to

· To determine the levels of return on investment on all lines of benefits offered to clients

· To determine the effectiveness of employee training

· To evaluate if new employee training program is thorough

Research Questions and Hypothesis

In order to meet the above stated objectives, the research will collect quantitative data that will answer the following research questions. The questions are correlate to the stated objectives.

1. Is there a relationship between the sizes of the particulate matter in microns to the number of employee sick leave days?

HO1 There is no statistically significant relationship between the size of the PM and the number of sick leaves days

HA1 There is statistically significant relationship between the size of the PM and the number of sick leaves days

2. Does the level of lead in the employee’s blood affect the organization’s return on investment?

HO1 There is no statistically significant relationship between the level of lead in employees’ blood and the organization’s return on investment?

HA1 There is statistically significant relationship between the level of lead in employees’ blood and the organization’s return on investment?

3. How is the level of noise affect the blood pressure of employees?

HO1 There is no statistically significant association between the level of noise in and the employees’ blood pressure

HA1 There is statistically significant association between the level of noise in and the employees’ blood pressure

4. Is return on investment similar in all lines of benefits?

HO1 Return on investment is not similar in all lines of benefits

HA1 Return on investment is similar in all lines of benefits

5. How effective is employee training in protecting themselves

HO1 The training is not effective

HA1 The training is effective

6. Is the duration for new employee training enough?

HO1 The new employee training is not effective within 6 months effective

HA1 The new employee training is effective within 6 months

References