Thematic analysis can be applied to qualitative data responses, allowing the researcher to group the resulting data into categories. Whereas quantitative data is obtained via methods with only select numeric options or ranges for a response, qualitative data is intentionally collected in an open-ended way that leaves the data open for human response and interpretation. Qualitative data is different from quantitative data because it analyzes data qualities that can have subjective interpretations or values. Read More: What is a Data Fabric? How is Qualitative Data Different? Think of discrete data as separate, individual points of data, whereas continuous data looks more like connected dots or lines that mark each subtle transition in the numerical value over time. The number of third graders that you have taught since you started teaching 10 years ago.ĭiscrete data can only be one numeric value, but continuous data are made up of several different numeric values within a range.Your body temperature throughout the day.The number of kittens up for adoption at your local shelter over the course of a year.The number of students in your third grade class.Ĭontinuous data include numbers within a range that don’t necessarily have to be whole and may change more frequently in a given time period.Your body temperature when you first woke up this morning.The number of kittens up for adoption at your local shelter on a given day.Here are the primary differences between the two: Discrete Dataĭiscrete data are whole numbers that can be counted and don’t change within a given time period. The two main categories of quantitative data are discrete and continuous. Quantitative data is data that can be quantified, but quantifying that data looks different depending on the type of data set at hand. The total percent of the world’s population found in China.How many times your sister went to the gym last month.Total revenue generated over a quarter.The weight of a puppy over the course of its first year.The number of employees in an organization’s C-Suite. Some examples of quantitative data include: Quantitative data is the most relevant form of data for use in both mathematics and statistics, as it is the primary type of data that can be measured objectively. Quantitative data is any set of information that can be numerically recognized and analyzed. What Is Quantitative Data? Quantitative Data Definition
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