T2 DQ2

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School

Grand Canyon University *

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Course

832

Subject

Marketing

Date

Jan 9, 2024

Type

docx

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Uploaded by BauerKingston2025

Imagine again that you are an automotive manufacturing executive tasked with increasing sales in your state. You wish to assess the effectiveness of an incentive program for sales personnel implemented at 10 dealerships in medium-size cities and 10 dealerships in small cities.  What three data collection approaches are most feasible for such a study?  What are the most significant strengths and weaknesses of these data collection approaches? Why are these significant?  What concerns do you have about the feasibility of implementing these approaches to data collection for this study? Explain. Data collection is the process of gathering and analyzing accurate data from various sources to find answers to research problems, trends and probabilities, etc. While there are numerous approaches available; in the case of assessing the effectiveness of an incentive program for the automotive manufacturing industry, the following three were chosen: 1. Recruit live participants: the researcher would be able to obtain primary data from the participants and take advantage of the opportunity for follow-up questions from the participants. A downside to this is that the researcher might not be able to get enough participants for the study (Waldschmidt, 2022). 2. Archived data: this secondary data approach can save time and money as the data has already been collected (Waldschmidt, 2022). An additional advantage is that the datasets could encompass a large population, reducing the possibility of not meeting the minimum sample size. The main disadvantage is that while the population may be large and data in abundance, not all archived data is applicable to the current research. 3. Using surveys: The use of surveys is favorable on both time and money. If the right information is available can be easily administered and responses quickly gathered. The pitfall to surveys is obtaining enough responses to meet the minimum sampling size. The initial questions to ensure participants meet the inclusion requirements can reduce the sample size significantly rendering the survey process inadequate (Waldschmidt, 2022). Of course, whichever instrument the researcher decides to use, it is imperative that the instrument actually reflect the intended variable, be reliable and considered valid (Waldschmidt, 2022). Reliability refers to the extent that the instrument yields the same results over multiple trials. Validity refers to the extent that the instrument measures what it was designed to measure. REFERENCES: Waldschmidt, J. (2022). Populations and samples in quantitative research. GCU doctoral research introduction to sampling, data collection, and data analysis. Grand Canyon University.

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T2 DQ2

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