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Research Methodology, Design, and Methods

Research methodology refers to the precise procedures that researchers select base on the chosen design. Details of how data is collected and analyzed is presented here. The research that led to the achievement of Sun Coast objectives was done using quantitative research methods since they offer detailed insights pertaining to the study. Research design is the specific type of study that one would conduct and is usually consistent with one’s philosophical worldview and the methodological approach the researcher chooses (Creswell & Creswell, 2018). This study seeks to evaluate the research methodology, design, and methods used in researching the concerns in Sun Coast leadership in business context.

Research Methodology

This research needed to involve much details from the respondents and data collected. Hence, quantitative research methodology was chosen. For instance, Sun Coast leadership and other business contexts involved numbers which needed to be analyzed in details rendering

Research Design

The research design employed in this research was causal one based on various reasons. Firstly, this design is quantitative in nature and it is also preplanned in design (Creswell & Creswell, 2018). Hence, it is considered as a conclusive research which is in line with Sun Coast where leadership trend was monitored against its business performance. Also, researching the performance of this organization required an explanation off cause and effect relationships that variables have. Hence, causal research design would aid in understanding the variables that causative and those which acts as effects of leadership and performance noted in Sun Coast.

Research Methods

This research applied the causal-comparative research methods which was sometimes combined with the descriptive statistics one (Creswell & Creswell, 2018). The former was used to find the relationship between dependent and independent variables after the occurrence of any action in Sun Coast. For instance, this method was useful in determining whether the independent or dependent variable affected the outcome through comparison of at least 2 groups of data collected. On the other hand, Sun Coast’s leadership and other business objectives could render descriptive statistics significant since the researchers could use the past figures to analyze the current ones and make a sound forecast of future organizational performance. Hence, the two research methods was sometimes combined to get a more credible conclusion based on data at hand.

Data Collection Methods

Different data collection methods including surveys, observation, and interviews were used to test each hypothesis (Creswell & Creswell, 2018). Observation was used for real life situations where pertinent happenings were then recorded. This data collection method were used in testing the hypotheses, ‘the blood lead levels have increased considering the sampled employees.’ Surveying was done to analyze the distributed data and come up with a logical conclusion. This method was used to test the hypotheses such as, the statistical relationship between the PM size and the worker’s health and the difference between return on investment exist considering four lines of service that Sun Coast offers to their customers. Interviews involved taking the respondents’ opinions pertaining to the research questions developed (Creswell & Creswell, 2018). This method was used to test the hypothesis, the efficiency of the revised programs compared to the prior training one.

Sampling Design

The sampling design that was most likely used for this research was the stratified one which involved dividing populations in Sun Coast into groups based on factors such as those who attended revised training versus those who did not among other groups. After developing groups, a probability sample was then selected and grouped into strata based on their positions in Sun Coast and what they believe in terms of leadership.

Data Analysis Procedures

Correlation is the preferred procedure to use to test the RQ1 hypotheses since the interest is whether a relationship exists between an independent variable (IV) and dependent variable (DV). Correlation will indicate if there is a relationship between PM size (IV) and the employee health (DV) and the magnitude of that impact if at all there is one.

Correlation is also appropriate in testing the RQ2 since the question aims to learn the relationship between training about health and safety and time wasted in attending the services. This procedure will indicate the relationship between the two variables considering that the latter is a DV while its former counterpart is independent.

Regression analysis procedure would be appropriate for RQ3 since the variable, DB levels of work would be predicted before placing employees on-site for future contracts. There is no independent sample among those provided by this RQ. ANOVA procedure would be suitable for testing RQ4 and RQ5 since the variables in the two research questions are non-directional. The former tests the efficiency between two groups of employees while the latter tests the blood sugar levels among the chosen employees.

References

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Thousand Oaks, CA: Sage.