Nowadays, many analysis techniques have been developed to analyze qualitative and quantitative data. For that reason, it can be quite challenging to decide which method is superior to others. To address this challenge, the eighth chapter titled “Displaying Alternatives and Distinguishing among Them” describes how decision-makers should cross-examine evaluation strategies when given multiple alternatives. Foremost, the chapter begins by highlighting the major limitations of popular analysis criteria. Afterward, the study proposes recommendations that address conflicting alternatives in quantitative and qualitative evaluations. In the end, the chapter concludes that there is no one-size-fits-all strategy that can address every analysis situation. In modern times, it is common for decision-makers to experience situations where they are unable to deal with competing alternatives. As such, this problem tends to cause serious problems, especially in cases where prompt decisions are required for immediate problems. The chapter suggests the use of basic comparison methods such as paired comparisons and satisficing, as well as the utility of matrix scorecards and other matrix methods ( Patton, Sawicki, & Clark, 2015). According to the chapter, the best strategy is to use scorecards, which outline the extent to which different criteria are addressed by the alternatives. When conflicts emerge, it is essential to use scenarios since they describe the pros and cons of respective alternatives. These strategies make it possible for a policymaker to acknowledge the relative importance of different evaluation alternatives. As time progresses, different analysis tools are being developed and improved on a daily basis to optimize evaluation results. However, the biggest problem for organizations that rely on such analysis tools stems from their inability to distinguish superior evaluation tools from inferior ones. During such situations, it is often necessary to outline the strengths and weaknesses of suitable analysis instruments. With that done, policymakers can either make appropriate choices or merge the strengths of appropriate evaluation methods. In summary, the selection of optimal analysis tools is a crucial step for most quantitative and qualitative investigations.
References
Patton, C., Sawicki, D., & Clark, J. (2015). Basic Methods of Policy Analysis and Planning—Pearson eText. Routledge.
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