Furthermore, quantitative information is much sorted for statistical and mathematical analysis, making it possible to illustrate it in the form of charts and graphs.ĭiscrete and continuous are the two major categories of quantitative data where discreet data have finite numbers and the constant data values falling on a continuum possessing the possibility to have fractions or decimals. And is collected through a structured questionnaire asking questions starting with “how much” or “how many.” As the quantitative data is numerical, it represents both definitive and objective data. It is commonly used to study the events or levels of concurrence. Methods used for quantitative data collectionĪ data that can be counted or expressed in numerical’s constitute the quantitative data. However, you will need computational, statistical, and mathematical tools to derive results from the collected quantitative data. What is the need for quantitative data collection?Īs a researcher, you do have the option to opt either for data collection online or use traditional data collection methods via appropriate research. Researchers often rely on quantitative data when they intend to quantify attributes, attitudes, behaviors, and other defined variables with a motive to either back or oppose the hypothesis of a specific phenomenon by contextualizing the data obtained via surveying or interviewing the study sample. In contrast to qualitative data, quantitative data collection is everything about figures and numbers.
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