Quantitative and Qualitative are two terms between which a variety of differences can be identified. Quantitative and qualitative research are complementary methods that you can combine in your surveys to get results that are both wide-reaching and deep. Now that we got the differences out of the way, let’s dive into each type of data using real-world examples. Quantitative data is information about quantities, and therefore numbers, and qualitative data is descriptive, and regards phenomenon which can be observed but not measured, such as language. Qualitative data can be categorized based on traits and characteristics. Simply put, quantitative data gets you the numbers to prove the broad general points of your research. Qualitative data is descriptive and conceptual. Quantitative has a lot to do with the quantity of an object or a person. Quantitative research is “explaining phenomena by collecting numerical data that are analysed using mathematically based methods (in particular statistics). Qualitative data brings you the details and the depth to understand their full implications.

On the other hand, qualitative has a lot to do with the quality or the attribute of an object or a person. Quantitative data can be counted, measured, and expressed using numbers. Qualitative research seeks to answer questions about why and how people behave in the way that they do.

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