Essay RES 832 Topic 1 Discussion GCU

Essay RES 832 Topic 1 Discussion GCU

RES 832 Topic 1 Discussion GCU

Topic 1 DQ 1

Quantitative research tends to require the use of relatively large samples. With that in mind, consider the strengths and weaknesses of purposeful, convenience, and random sampling approaches in quantitative research. Assume that you are an automobile manufacturing executive tasked with increasing sales in your state. You wish to evaluate the effectiveness of an incentive program for sales personnel implemented at 10 dealerships in medium-size cities and 10 dealerships in small cities. All you have at hand are archived records of the incentives received by the sales staff and of their respective sales transactions. What information, data, and variables do you choose to analyze as relevant to your evaluation? Why? Which of the GCU core quantitative designs (introduced in a previous course) would best fit your evaluation plan? Why? How much data do you need to analyze in order to reach a meaningful conclusion? Explain. Do you anticipate any logistic difficulties or ethical concerns? Explain.

Topic 1 DQ 2

Assume you wish to study the influence of high school principals’ leadership styles and academic achievement in their schools in your state. Do you need primary data, secondary data, or both? Explain. What logistic difficulties do you expect in gathering all necessary data? Explain. How are you going to combine all data into a single file for statistical analysis?

Topic 2 DQ 1

Think again of that study on the predictive relationships of high school principals’ leadership styles and academic achievement in their schools in your state. The instrumentation must be aligned with the research questions and study design and must be feasible for administration of the study. How do you identify instruments appropriate for use with GCU core quantitative research designs? How might you address concerns about the influence of instrumentation on study feasibility? Do you have any ethical concerns about recruitment and data collection? Explain.