Introduction
There are a number of different qualitative research techniques that can be used to analyze data. These include crisp and fuzzy set qualitative comparative analysis, content analysis, exploratory design and explanatory design. This paper will examine each of these individually, and seek to contrast them. Then, the best types of research for each design will be examined, and the paper will conclude with an explanation of how technology has changed qualitative research.
Qualitative Comparative Analysis
Qualitative comparative analysis is sometimes used in business settings. This is when contextual information and cognitive knowledge are blended. The data sets can either be crisp or fuzzy. The difference is that crisp data sets would be, for example, survey responses where there are a finite number of responses, and they are set out in the questions. A fuzzy set would be the output of a survey with open-ended questions. For the purposes of analysis, the big difference is that the fuzzy set you might have different responses that basically say the same thing. To properly analyze that data, the fuzzy set would have to be codified. An example would be a simple geographic response. The question “what country are you from?” with a dropdown menu would yield only United States. But if the question is open-ended, you’d get “US”, “USA”, “United States”, “United States of America” and maybe some others. So different responses that say the exact same thing.
This is a simple example. For more complex examples, it will be more difficult to code, but the principle is the same. The researcher would look for answers that are similar or the same, group them together in order to make comparisons about the data.
There are several advantages to this qualitative technique. First, it can handle both crisp and fuzzy data sets, which is the required degree of flexibility in qualitative analysis. Furthermore, This technique provides the opportunity to compare...
References
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Rois-Tierno, N., Huarng, K. & Ribeiro-Soriano, D. (2016) Qualitative comparative analysis: Crisp and fuzzy sets in business and management. Journal of Business Research. Vol. 69 (2016) 1261-1264.
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