Question.851 - From the bullet point list below, select one topic for which you will lead the discussion in the forum this week. Early in the week, reserve your selected topic by posting your response (reservation post) to the Discussion Area and identifying your topic in the subject line. Practice posing your reservation post as a research question. Distinguish between rating and ranking scales. Assess the limitations of each, providing examples of when each may be appropriate. Developing survey or measurement questions is only one aspect of good instrument design. The rating scale also contributes to the quality of the instrument. Below are examples of the many different response scales that are in use. Evaluate potential strengths and weaknesses of the scales. Yes–No Yes–Maybe–No Poor–Fair–Excellent Poor–Fair–Good–Excellent Poor–Fair–Average–Good–Excellent Analyze the four data types using examples for each. Assess closed- and open-ended questions. When do we use each of them? Provide examples. Propose the key factors in designing a questionnaire. As the beginning of a scholarly conversation, your initial post should be: Succinct—No more than 500 words. Provocative—Use concepts and combinations of concepts from the readings to propose relationships, causes, and/or consequences that inspire others to engage (inquire, learn). In other words, take a scholarly stand. Supported—Scholarly conversations are more than opinions. Ideas, statements, and conclusions are supported by clear research and citations from course materials as well as other credible, peer-reviewed resources.
Answer Below:
Considering the business research, both Rating and Ranking scales tend to serve a common objective; however, there are varying characteristics to it depending on the topic or the business problem being addressed. In terms of the Rating, the scale tends to provide authority to the respondents to scale their responses in the format of multiple choices. The possibility of obtaining the output entirely depends on the scope of the research since the scope will lie within the preset value given by the researcher (Alwin & Krosnick, 1985). In this type of scale, the researcher has the potential to only draft closed-ended questions that could produce quantitative datasets that is measurable, and these questions are often subjected to be driven by facts (Maio et al., 1996). For instance, considering a business that is about to bring in a change intervention, assuming the firm recognizes their hard work and wants to know if remote work could benefit them and how likely they view it. In this scenario, when they want to get employee feedback that has to be closed-ended, they can question them on how likely remote working would benefit them with responses such as very likely, not sure, and not useful. The scale can be used on mobile devices in terms of forms. The rating scale, as seen in the example, could be applied to that scenario where there is a closed response needed, which itself could serve as a limitation to it, such as the researcher would conduct the study with a biased predetermined notion to produce limited results (Alwin & Krosnick, 1985). The rating scale also heavily relied on the emotional cues of the participants, which could be reflected in their emotional cues that would not produce refined data. The Likert scale is an example of a Rating scale that is commonly used. The Likert scale provides the respondents with a range of options to designate their answers which are in accordance with their understanding or feelings (Maio et al., 1996). Considering the Ranking scale, which is used when the researchers need to compare one factor to another, does not provide a result that is based on the common scale as rating them. For instance, using the same example as discussed above, a company wanting to implement remote work while using the Ranking scale can compare two items, and it will no longer be a closed-ended question. For example, will remote work benefit the employees, or providing them additional overtime in addition to meal pass will be beneficial? The ranking scale would include both the benefits and the target audience could be asked to rank them based on their preferences. The Ranking scale provides the researcher opportunity to comprehend what the target audience desires. In this approach, there is a higher possibility of researchers getting varied responses since when more items are compared; respondents could rank diversely and leading to producing unreliable datasets (Alwin & Krosnick, 1985). However, both the scaling ideas have similar objectives that can be interchanged depending on the research. References Alwin, D. F., & Krosnick, J. A. (1985). The measurement of values in surveys: A comparison of ratings and rankings. Public Opinion Quarterly, 49(4), 535-552. Maio, G. R., Roese, N. J., Seligman, C., & Katz, A. (1996). Rankings, ratings, and the measurement of values: Evidence for the superior validity of ratings. Basic and applied social psychology, 18(2), 171-181. Prs Hi, thank you for sharing your insight into the topic. I would like to add that one of the strengths of open-ended questions is how it enables the researcher to extend the scope of the research with an additional piece of information in terms of an exploratory approach (Neuert et al., 2021).? To understand the closed-ended question - using an example, whenever a business wants to understand the industrial performance, since the target population is vast, considering that the business is well-established in the industry in terms of expertise, it can employ closed-ended questions to procure data that only relevant to the research objective.? For example, when a particular business wants to launch a new product or service and has no idea of that is demand trends of the niche market, it will employ open-ended questions to have as much information as possible. References Neuert, C. E., Meitinger, K., & Behr, D. (2021). Open-ended versus closed probes: Assessing different formats of web probing.?Sociological Methods & Research.?https://doi.org/10.1177/00491241211031271Hi, we've both chosen the same topic; I hope to bring diverse information to your post. I would address the discussion on understanding the strengths and weaknesses of the ranking scale since the ranking scale is used by the researcher when they want to give more importance to a list of items, which could result in producing varied results in terms of impacting the consistency factor (Maio et al., 1996). On the other hand, the ranking scale could help the researcher identify diversity factors among the target population, reduces the possibility of response bias, and give more authority to the researchers to mitigate the flow of data (Maio et al., 1996). I would like to pose a question to just make us think; imagine I work for a business that produces energy drinks, and the firm wants to know two things one, how did the target population receive the newly launched product? Secondly, the top management wants to know that when compared to the preexisting drink along with the newly launched product, which one is the most favorite among the target population? In both scenarios, which scale is appropriate? References Maio, G. R., Roese, N. J., Seligman, C., & Katz, A. (1996). Rankings, ratings, and the measurement of values: Evidence for the superior validity of ratings. Basic and applied social psychology, 18(2), 171-181.More Articles From Business Management
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