Literature review

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Literature Review

Haxsey (2010) aims at evaluating the causes of employee absenteeism and the number of days taken as sick leave. As such, he demonstrates that there exists a linear relationship between employee satisfaction and their health. This study uses correlation analysis to demonstrate a linear relationship between employee satisfaction and days they take as annual leave. The author has a master’s degree in human resource management. This study can be used to improve employee satisfaction and reduce number of days lost as sick leaves.

Omosefe, Harvey, Ikuma, and Aghazadeh (2013) who are specialists in construction ergonomics evaluate the relationships between stressors at the workplace and the number of injuries at construction sites and uses regression analysis to demonstrate that there exists an inverse relationship between safety training efforts and the number of hours lost due to injuries. This study can be used at Sun Coast to improve safety training expenditure thereby reducing the number of hours that could be lost in case of injuries.

Ngo and La Puente (2013), who are statisticians, demonstrate ways in which multiple regression analysis can be used to evaluate the relationships between multiple variables. As such, their work can be used to model the relationships between chord length, decibel, velocity and displacement. As such, it is possible to follow the described steps when making a regression model for Sun Coast.

Rao and Kumar (2017) (Jawaharlal Nehru Technological University Kakinada (JNTUK), Andhra Pradesh, India 2 Professor & Director, School of Management Studies, Jawaharlal Nehru Technological University Kakinada (JNTUK), Andhra Pradesh, India )set out to investigate ways of evaluating the effectiveness of training programs. They use a model, known as Kilpatrick’s model to study the behavior of people before and after training and makes use of various statistical analysis methods, including t-tests to on over twenty statistical software to measure the effectiveness of a training program that they have set out. The psychologists find out that the organization and participants that take the responsibility of ensuring the effectiveness of training programs as a common responsibility have better training outcomes. As such, Sun Coast can use this study to do their own t-tests and thereby establishing ways in which desired training outcomes can be achieved and maintained. The researchers are experts in human resource management.

Derrick, Toher and White (2017) explain how one can use paired t-tests by comparing the means of two samples, which are made up of paired observations as well as independent observations and gain valuable information that can be used to inform decisions. Sun Coast can make use of this information to compare the outcomes for employees both pre-exposure and post exposure. Once the outcomes have been established, the insights that have been gained from the t-tests can then be used to improve the conditions for the employees and further boost their performance at the workplace. The authors are lecturers in statistics.

Kim (2017) a researcher in medical statistics lays down a practical guide on how to use one-way analysis of variance (ANOVA) to draw insights out of data. As such, his work asserts that the need to use ANOVA is necessitated by multiple comparisons as the ones that are seen at Sun Coast to assess the return on investment on their project. In addition, the author explains that ANOVA makes use of the statistic F that measures the ratio of variances between groups. As such, various variables as presented in the Sun Coast data files will be investigated through the analysis of variance and determine the return on investment of the project undertaken. If the return on investment for a project is desirable, then it is advisable to go on and carry it out. When it is very low, Sun Coast should not carry out the project thereby avoiding losses.

References