Now that you have completed the first six assignments, it is time to complete your research project for the course. Include the following sections in your submission. Title Page Table of Contents Ex

RESEARCH METHODOLOGY 0

Research Methodology

Jermaine Griffin

Research Methodology

The research methodology is quantitative. Two reasons support the use of the methodology over the qualitative approach. First, the method is best for quantifying behavior, attitudes, opinions, and other variables and generalize a large study population. The method is ideal for computation and experimentation and since all of the research questions can be answered by experimentation, the quantitative approach is the most ideal. Secondly, the primary goal of the quantitative methodology is to understand the relationship between the dependent and independent variables (Bryman, 2017). The research objectives are tied to how independent and dependent variables relate thus the methodology will off the best explanation of the relationships.

Research Design

The research design will be the causal research which is also known as the explanatory research design. The design focuses on the investigation of cause and effect relationships. Based on the research objectives, it will be necessary that variables that are assumed to cause change will be observed (Kemp et al., 2018). The causal research design will help explain if the change in the variables is related to variations in the variables under study. The causal research design will help explain the relationship between the independent and dependent variables.

Research Methods

Different research methods will be used to test the seven hypotheses. For hypothesis 1, the experimentation method will be the most ideal as it will make it possible to test if an increase in PM size influences the health of an employee. For hypothesis 2, the correlation method will be the best. The method will allow the researcher to see if there is a relation between safety training and lost hours. For hypothesis 3, the descriptive method will be the best. The method will make it possible to assess whether the dB level in a job site exceeds the standard 12decibels. For hypothesis 4, the casual comparative method will be the best as it will make it easy to confirm if the training program causes an improvement or not. It will also make it possible to compare the previous training program and the new program. For hypothesis 5, the descriptive method will be the best. The method will make it possible to assess whether the blood lead levels in employees have increased by simply looking at the available data. For the last hypothesis, the descriptive method will be the best. The method will make it possible to assess if there a difference in the return on investment among the company’s lines of service by looking at the available statistics on the lines of services.

Data Collection Methods

For hypothesis 1, the best data collection method will be record analysis as records on the size of PM and the health of employees already exists. The best data collection method for hypothesis 2 records analysis as records on safety training and records on the time lost in hours exists. The best data collection method for hypothesis 3 is observation as it will be easy to observe whether the dB level in the job site exceeds the standard 12decibels. The best data collection method for hypothesis 4 is the survey method as it will require the employees to share whether they believe the training was effective or not. The best data collection method for hypothesis 5 is records analysis. Confirming or dispelling the hypothesis only needs analysis of the existing data. The best data collection method for the last hypothesis is records analysis as only the existing data on the lines of services is analyzed.

Sampling Design

The best sampling method for the research is random sampling. Random sampling has two main advantages that make it ideal. First, it eliminates bias, the method will reduce the chance of influencing the study. Secondly, the random sampling method is ideal for a large population (Sharma, 2017). The chosen samples represent the whole population. The method will be ideal for the study considering the study population is huge. The company has many employees.

Data Analysis Procedure

For hypothesis 1, the regression analysis will be the most ideal as it allows the analysis of relationships between two or more variables (Ahlgren & Walberg, 2017). It will allow the analysis of PM size and the health of patients. For hypothesis 2, the t-test will be used as it makes it possible to analyze the significant difference between the two groups. For hypothesis 3, the regression analysis will be used as it will allow the analysis of the DB level and noise. For hypothesis 4, the ANOVA analysis will be used. The ANOVA analysis method is ideal for identifying differences between three independent groups (Boisgontier & Cheval, 2016). In testing hypothesis 4, one has several groups; the trained groups, the training, and levels of understanding. For hypothesis 5, the regression test will be used as it allows the analysis of relationships between two or more variables. For the last hypothesis, the ANOVA analysis will be used as the difference between three or more groups is being checked.

References

Ahlgren, A., & Walberg, H. J. (2017). Generalized regression analysis. Research design: The logic of social inquiry, 285.

Boisgontier, M. P., & Cheval, B. (2016). The ANOVA to mixed model transition. Neuroscience & Biobehavioral Reviews, 68, 1004-1005. Retrieved from https://www.sciencedirect.com/science/article/abs/pii/S0149763416301634

Bryman, A. (2017). Quantitative and qualitative research: further reflections on their integration. In Mixing methods: Qualitative and quantitative research (pp. 57-78). Routledge.

Kemp, S. E., Ng, M., Hollowood, T., & Hort, J. (2018). Introduction to descriptive analysis. Descriptive Analysis in Sensory Evaluation, 1. Retrieved from https://books.google.co.ke/books?hl=en&lr=&id=N7lIDwAAQBAJ&oi=fnd&pg=PA3&dq=Advantages+of+the+descriptive+research+method&ots=IpMHp_vDUW&sig=WN4DLnXVGd_DbczA7TWrPM3pZ6Y&redir_esc=y#v=onepage&q=Advantages%20of%20the%20descriptive%20research%20method&f=false

Sharma, G. (2017). Pros and cons of different sampling techniques. International journal of applied research, 3(7), 749-752. Retrieved from https://s3.amazonaws.com/academia.edu.documents/58765080/Pros_and_cons_of_sampling.pdf?response-content-disposition=inline%3B%20filename%3DImpact_Factor_5.2_IJAR.pdf&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Credential=ASIATUSBJ6BAGZEX7YJM%2F20200514%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Date=20200514T180832Z&X-Amz-Expires=3600&X-Amz-SignedHeaders=host&X-Amz-Security-Token=IQoJb3JpZ2luX2VjEDIaCXVzLWVhc3QtMSJHMEUCIAjYkrG2N6yLgIJHX1YeO7kGtHfZine4hdrCMsVdWUd1AiEArgaSbEFRdxFx1AaI5ocwX2EtBRhskSKUH2c39mZo58IqtAMIehAAGgwyNTAzMTg4MTEyMDAiDLsAllR2Uc2%2BJyFI2CqRA1DthAj3aCcCQ4Wr%2FAoAX9g7csZ9FxEBUzO90MRvfcmjdG4gSB45euLzkBmjMnrUDLjV8uNGupGurNYnir4lTxIIpF5vgdeXWpt6ckNDzHsOsMHy%2FATa0YZE5ILh3Vo8PwuL1VMDwyqH5M%2Fs6%2FPkm%2B4jva8pidzB%2B6oPzFJAWHghgLBW6GLDTFOgywdU12gaLNvddNsjTS2saTmwrCRfg2pyphh6zgYJbvCOtHr6ax%2BXsSwRMRdKBVLq8Imoc928jnzqsRykRLo6eaSYAYOYkcjDJsbNRMVfOuf%2BUfkgXpOMIOnFQDVow6MpFw13rRKTS0bjmr13KRib%2FVVD%2FOQdHoFnqxvI0YqoK9H0Ao8BVQPMhmuMVhioWNLUcG1LNiwt1cePVAk%2BCO5jag%2FcK2sSKipsrerJxu0%2FPYxxRkglo4kN2XPIhTOR3NkXCFyjBpwZTCFf%2BlBLukWWfBFOC2SX63v30xgQozcQa7cXSlBOL7t0%2BewrcnJNdEYUAfOyTFVjpNfClBG5UnsxaRBkn8p1R2NxMLn09fUFOusBwdr33TJocsH2Wrp58whJVWSFFXF8uGBTr3u5RMdn7Umu30Ek%2B1DpjeH9fD0sx4xE9sITslbC9vXerx8X8ct4E%2BWo5ndis1If1oCW5oRywwWsscxx1DPzyurPSBdPrJ2BuznB2cZOYadYgwOnt9x3Z%2FaTY1hmD0Hq%2FMtpdgh2YKPFRJObhnwExfkPobURl5Rb%2BhC9HiCRHauqSH8jQRogks%2B%2F%2FaRD7qfkixP5136V%2FGfd2mc8JAcsZaDQcI7qvQEL3McSEE0%2BVHdi%2FDNRSIP935xTRqloS%2BZ1WBEDGeVgxN%2BdiBEuuUK2M00v4w%3D%3D&X-Amz-Signature=e23b63d06761d835a87a18a239e11298c7c6f078f6658e8b77e92b4452653e26