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Qualitative data is more descriptive and easier to understand. These types of data are often presented by researchers in case studies. Case studies involve real life cases, rather than fictional ones. In case studies, case study is an explanation or an example of a certain phenomenon. A case study could be about a new product or a new marketing strategy. For instance, a case study on the effects of McDonald's advertising could talk about what people think about the different ways the advertising is done. How then are qualitative vs quantitative data https://domyessay.com/blog/qualitative-vs-quantitative different? First, quantitative data involves aggregating data from many sources, which makes it more generic. In doing so, it removes some individuality that the consumer feels is important to them. Numeric data on the other hand, allows for an effort to quantify the dimensions of a certain dimension. Quantitative research tends to provide results that are more general, whereas qualitative data tends to be more specific. It has been said that a lot of qualitative research results in the conclusion that something is a certain type of or attribute that cannot really be quantified.