Qualitative And Quantitative Data Definition

Take a read of this article to know the difference between qualitative and quantitative data.

Qualitative and quantitative data definition. On the other hand quantitative data is the data type that can be measured and expressed numerically. Qualitative data is the data type that consists of descriptive statements. For quantitative data consider measurables like your height weight age and shoe size. The difference between qualitative and quantitative data and analysis all you need to know.

It is used to quantify attitudes opinions behaviors and other defined variables and generalize results from a larger sample population. Qualitative data is text based while quantitative data is number based. Comparison chart in pdf. Difference between qualitative and quantitative data definition.

Here are the 15 key differences between quantitative qualitative data. Qualitative vs quantitative data analysis. Qualitative data is descriptive information about characteristics that are difficult to define or measure or cannot be expressed numerically quantitative data is numerical information that can be measured or counted. Published on april 12 2019 by raimo streefkerk.

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. These data types are used in a number of fields like marketing sociology business public health and so on. There are two types of data. There exists a fundamental distinction between two types of data.

Quantitative data is a group of quantifiable information that can be used for mathematical computations and statistical analysis which informs real life decisions while qualitative data is a group of data that describes information. Definition examples characteristics contrast similarities and differences. On the contrary quantitative data is the one that focuses on numbers and mathematical calculations and can be calculated and computed. With a firm grasp on qualitative and quantitative data you can then begin making sense of the four types of data analytics.

Quantitative research is used to quantify the problem by way of generating numerical data or data that can be transformed into usable statistics. Both are important for gaining different kinds of knowledge. When collecting and analyzing data quantitative research deals with numbers and statistics while qualitative research deals with words and meanings.