Topic5DQ2.docx

Topic 5 DQ 2

Nov 3-7, 2022

Imagine once again that you are an automobile manufacturing executive tasked with increasing sales in your state. You wish to do a qualitative study to obtain the perspective of sales personnel regarding an incentive program you implemented at few dealerships that quantitatively proved to be successful. The three sources of data for your case study are individual semi-structured interviews, archival documents, and field observations. What are the most significant strengths and weaknesses of the methods for collecting data from these data sources? Why are these significant? What skills are needed to collect the data effectively? Explain. What concerns do you have about the feasibility of implementing these methods of data collection for this study? Explain.

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STUDENT ANSWER- In the scenario for the automobile manufacturing company and the perspective of the sales personnel using the semi-structured interview, field observations, and archival documents would have positives and negatives. The semi-structured interview provides an opportunity for in-depth, open-ended questions (Steffes & Jacobs, 2021). The researcher can stray from the established questions, which allows for follow-up questions. A weakness might be the time it takes to interview all the participants, conduct the interview, and the researcher's bias. Field observations can not be recorded as they occur and rely on the researcher's memory. The researcher needs to record the evidence quickly after the event (Steffes & Jacobs, 2021). Finally, archival documents need approval before they are used. For our scenario, looking at companies implementing an incentive program would benefit the research. The data will provide a rich description of the participants. The researcher must be familiar with the research but not provide bias when conducting the research. Some considerations need to be made when collecting data. Modality, time of the interview, if they are recorded, and sharing the purpose of the interview must be disclosed to those participating in the research. Concerns about the feasibility would be money, time, and the number of participants.

Resources:

Steffes, D. & Jacobs, J. (2021). Introduction to sampling, data collection, and data analysis. In Grand Canyon University (Ed.), GCU doctoral research: Foundations and Theories.  https://lc.gcumedia.com/webbooks/gcu-doctoral-research-introduction-to-sampling-data-collection-and-data-analysis/v1.1/#/chapter/6