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Quantitative data is anything that can be counted or measured; it refers to numerical data. Qualitative data is descriptive, referring to things that can be observed but not measured—such as colors or emotions. In this post, we’ll define both quantitative and qualitative data in more detail.
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. Quantitative research collects numerical data and analyzes it using statistical methods.
When collecting and analyzing data, quantitative research deals with numbers and statistics, while qualitative research deals with words and meanings. Both are important for gaining different kinds of knowledge. Quantitative research is expressed in numbers and graphs. It is used to test or confirm theories and assumptions.
Qualitative vs quantitative data is a fundamental distinction between two types of information you can gather and analyze statistically. These types of variables seem diametrically opposed, but effective research projects will use them together.
Bottom Line: Qualitative Data Vs. Quantitative Data. Both qualitative and quantitative data are valuable, and a comprehensive approach to research may include both for a more thorough and nuanced understanding.
There are two distinct types of data collection and study: qualitative and quantitative. Although both provide an analysis of data, they differ in their approach and the type of data they collect. Awareness of these approaches can help researchers construct their study and data collection methods.
The key difference is that quantitative data is fixed or universal, whereas qualitative data is subjective. For example, if a ball weighs 30 pounds or 13.6 kilograms, it's an objective fact about the ball. This kind of data is to-the-point and conclusive. Qualitative data is subjective, interpretive, and exploratory.
Non-numerical: Qualitative data is typically represented using non-numerical data such as text, images, and observations.; Qualitative: Qualitative data is often considered qualitative, as it is based on the collection of data through a subjective and non-systematic process.; Subjective: Qualitative data is often considered subjective, as it is based on the interpretation of the data by the ...
Quantitative = Quantity. Quantitative data are. measures of values or counts and are expressed as numbers. data about numeric variables (e.g. how many, how much or how often). Qualitative = Quality. Qualitative data are. measures of 'types' and may be represented by a name, symbol, or a number code.
Quantitative research uses objective, numerical data to answer questions like "what" and "how often." Conversely, qualitative research seeks to answer questions like "why" and "how," focusing on subjective experiences to understand motivations and reasons.