What Is The Difference Between Quantitative And Qualitative Data

Quantitative has a lot to do with the quantity of an object or a person.

This can be used to explore attitudes behavior nature of experience etc. This is an important difference between qualitative and quantitative data analysis. The main difference between qualitative and quantitative data is that qualitative data is descriptive while quantitative data is numerical. This focuses on numerical data.

As against this data collection is structured in quantitative data. In contrast quantitative analysis can lead to conclusions or trends about a large population based on a sample taken from it. Quantitative data is all about how much or how many. Qualitative data can be categorized based on traits and characteristics.

In qualitative data there is an unstructured gathering of data. Qualitative data is descriptive and conceptual. This focuses on descriptive data. The primary difference between qualitative and quantitative research is that while qualitative research deals with numerical data and hard facts wuantitative data deals with human behavior attitude feelings perception etc.

RELATED ARTICLE :

• what does it mean when your hcg levels are high
• what does it mean when your left ear rings
• what does it mean when your right eye itches

In the quantitative analysis the data is analyzed through statistical means. While quantitative research is based on numbers and mathematical calculations aka quantitative data qualitative research is based on written or spoken narratives or qualitative data. While qualitative data determines the depth of understanding quantitative data ascertains the level of occurrence. While quantitative data are length width height weight area speed age etc.

Quantitative data collection methods are much more structured than qualitative data collection methods. Quantitative data can be counted measured and expressed using numbers. What s the difference between qualitative and quantitative. Another major difference between quantitative and qualitative data lies in how they are analyzed.

In other words it can be said that qualitative refers to the quality whereas quantity refers to a number. On the other hand qualitative has a lot to do with the quality or the attribute of an object or a person. Some of the key approaches are. Quantitative data is suitable for statistical analysis and mathematical calculations while qualitative data is usually analyzed by grouping it into meaningful categories or themes.

Now that we got the differences out of the way let s dive into each type of data using real world examples. Quantitative research uses measurable data to formulate facts and uncover patterns in research. There is a range of approaches to qualitative data analysis.