Which of the gcu core quantitative designs (introduced in a previous course) would best fit your evaluation plan?

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The upoade document to the initial question
Topic 1: Quantitative Sampling Plan Objectives:
Identify data sources.
Compute sample size.
Differentiate between quantitative sampling approaches.
Question 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.
Hello LaTrell,
Thank you for the discussion response. The prompt problem specifies that the aim is 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.
20 dealerships is a small target population for a quantitative study. I think it would be likely to use all of the 20 dealerships and the archived records for the study. The sample would be used because it is available. Thus, it is a convenient sample.
GCU quantitative designs are correlational, predictive correlation, quasi-experimental, experimental, pre-experimental, comparative, and ex-post facto. See chapter 8 of your textbook for a listing of the GCU quantitative designs. Which of these would be your design?
GCU Doctoral Research Introduction to Sampling, Data Collection, and Data Analysis (gcumedia.com)
The prompt specifies that we can only use the archived records. This means that the records that each dealership has collected for each sales persons for the incentives earned and sales made would be used.
A statistical test would be a paired sample or dependent sample t test. The sample would be salespersons who participated in the incentive program. Each salesperson would have their records for the analysis. In this analysis, the sales records before the incentive program would be one variable and the sales records after the incentive program would be the other variable. The statistical test would show if there was a significant difference before and after the program. See site below. How would this determine the effectiveness of the sales program?
Dr. Stanley
Dependent T-Test in SPSS Statistics – The procedure for running the test, generating the output and understanding the output using a relevant example | Laerd Statistics