What is the difference between quantitative and qualitative data?
What is the difference between quantitative and qualitative data?
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.
What are examples of qualitative observations?
A qualitative observation involves the use of five sensory organs, sight, smell, taste, touch, and hearing, and their function to examine the attributes. Being subjective in nature, it focuses on the characteristics and qualities of the variables rather than the numerical value. Examples: My hair is black in color.
What is an example of a qualitative data?
Qualitative data is information gathered from a study that is descriptive and not based on numbers. This data is then not measurable, but rather illustrative in nature. An example of this would be gender (male or female), sexuality (heterosexual, homosexual), race (Caucasian, Asian, African).
Difference Between Qualitative and Quantitative Data. The main difference between qualitative and quantitative data is that qualitative data is descriptive while quantitative data is numerical. For example, qualitative data are gender, country, city, nationality, etc. while quantitative data are length, width, height, weight, area, speed, age, etc.
Which type of data is qualitative data?
Qualitative data can be defined as the type of data that characterizes and approximates but cannot measure the properties, attributes, or characteristics of a phenomenon or a thing. The data can also be recorded and observed are generally non-numerical in value.
What are the two types of quantitative data?
There are two types of quantitative data, which is also referred to as numeric data: continuous and discrete. As a general rule, counts are discrete and measurements are continuous.