T1 DQ1

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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. The automobile manufacturing executive may want to start with data that is readily available. In this case, the archival data, also known as secondary data. Casteel (2021) mentioned, secondary data sources are any source providing data that have already been collected and is being used by someone else other than the researcher who collected it. It may often include large national databases or industry-specific sources that are readily available for public research (Casteel, 2021). The researcher may want to evaluate the effectiveness of incentive programs that salespeople receive based on their sales records. In addition, evaluate any performance programs that would show how motivated the salesperson is to perform well (if available). A big part of motivation is related to employee needs (Mathieu et al, 2019). Data collection is a complex activity in research, which varies greatly by chosen methodology and design (Casteel, 2021). In quantitative research, instrumentation or procedures are used to measure variables, whereas in qualitative research, data sources and collection methods are used to explore a phenomenon (Casteel, 2021). In this case, a correlational or associative design would be best for this study, as it examines the relationship(s) between pairs of variables with the intent of assessing the direction and strength of a relationship by using either primary or secondary data (Casteel, 2021). Determining the sample size is an important consideration and is based upon the purpose of the study. There are many considerations, including the availability of suitable study participants, recommendations of the literature, and nature of the study. With secondary data; however, the researcher runs the risk of incomplete data or records that are not necessarily the type of data needed to address the current research problem. In addition, one cannot conduct statistical analysis on archival data before securing approval from the proper gate keeper (Casteel, 2021). Casteel, A. (2021). Populations and samples in quantitative research. In Grand Canyon University (Ed.), GCU Doctoral Research: Introduction to Sampling, Data Collection, and Data Analysis . Mathieu, J. E., Gallagher, P. T., Domingo, M. A., & Klock, E. A. (2019). Embracing complexity: Reviewing the past decade of team effectiveness research. Annual Review of Organizational Psychology and Organizational Behavior , 6 , 17-46.

As an automobile manufacturing executive with access to just archival data, it is easier to start off with the type of data that is provided. In this case, the executive has archival data, which can be considered secondary data. As Casteel (2021) has mentioned, secondary data sources are any source providing data that have already been collected and is being used by someone else other than the researcher who collected it or for a purpose other than that of the original research. It is also known as archival data, and it often includes large national databases or industry-specific sources that are readily available for public research (Casteel, 2021). Based on the information that is readily available, I would want to evaluate the effectiveness of incentive programs that salespeople receive based on their sales records. These incentive programs can show an organization how motivated the salesperson is to perform well. A big part of motivation is related to employee needs (Tudor & Petre, 2021). Data collection is a complex activity in research, which varies greatly by chosen methodology and design (Greenberger & Miron, 2021). In quantitative research, instrumentation or procedures are used to measure variables, whereas in qualitative research, data sources and collection methods are used to explore a phenomenon (Greenberger & Miron, 2021). In this case, a correlational or associative design would be best for this study, as it examines the relationship(s)between pairs of variables using data from a single group of participants with the intent of assessing the direction and strength of a relationship by using either primary or secondary data (Singer Pressman, 2021).With secondary data, researchers frequently resort to this alternative because there is no reasonable alternative as they couldn't possibly collect better (or equally good) data on their own (Vogt et al., 2012). There is a caveat, however, to choosing this route. As vast as archival resources are, all archives are limited, incomplete, and biased (Vogt et al., 2012). In addition to this, the researcher should also ensure that the data obtained is cleaned in an ethical manner. Casteel, A. (2021). Populations and samples in quantitative research. In Grand Canyon University (Ed.), GCU Doctoral Research: Introduction to Sampling, Data Collection, and Data Analysis. Retrieved from https://lc.gcumedia.com/webbooks/gcu-doctoral-research-introduction-to- sampling-data-collection-and-data-analysis/v1.1/#/chapter/2 Greenberger, S., & Miron, D. (2021). Introduction. In Grand Canyon University (Ed.), GCU Doctoral Research: Introduction to Sampling, Data Collection, and Data Analysis . Retrieved from https://lc.gcumedia.com/webbooks/gcu-doctoral-research-introduction-to-sampling-data- collection-and-data-analysis/v1.1/#/chapter/1 Singer Pressman, M. (2021). Quantitative data analysis. In Grand Canyon University (Ed.), GCU Doctoral Research: Introduction to Sampling, Data Collection, and Data Analysis . Retrieved from https://lc.gcumedia.com/webbooks/gcu-doctoral-research-introduction-to-sampling-data- collection-and-data-analysis/v1.1/#/chapter/4 Tudor, A.-D., & Petre, A.-G. (2021). The performance evaluation system and the impact on employee motivation: Do performance appraisal rewards play a role in motivating and engaging employees? Review of International Comparative Management / Revista de Management Comparat International, 22 (5), 721-728. https://doi- org.lopes.idm.oclc.org/10.24818/RMCI.2021.5.722

Vogt, W. P., Gardner D. C., &Haeffele, L. M. (2012).When to use what research design.Guilford

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