How do you distinguish between qualitative and quantitative data?

Qualitative data describes qualities or characteristics, while quantitative data involves numbers and measurements.

Qualitative data is all about descriptions and characteristics that can't be counted or measured with numbers. For example, if you're looking at different types of fruit, qualitative data would include the colour, texture, and taste of each fruit. This type of data is often collected through observations, interviews, or surveys where people describe their experiences or opinions. Words like "soft," "sweet," or "red" are examples of qualitative data. It's useful for understanding the qualities of something and can help you get a deeper insight into the subject you're studying.

On the other hand, quantitative data is all about numbers and measurements. This type of data can be counted, measured, and expressed using numbers. For instance, if you're studying the same types of fruit, quantitative data would include the weight, number of seeds, or the price of each fruit. You might collect this data using tools like scales, rulers, or questionnaires with numerical answers. Words like "10 grams," "15 seeds," or "£1.50" are examples of quantitative data. This data is useful for making calculations, creating graphs, and analysing trends.

In summary, qualitative data gives you descriptive information, while quantitative data provides numerical information. Both types of data are important in different ways and can often be used together to give a fuller picture of what you're studying.