What is quantitative and qualitative analysis?

Generally speaking, quantitative analysis involves looking at the hard data, the actual numbers. Qualitative analysis is less tangible. It concerns subjective characteristics and opinions – things that cannot be expressed as a number. Here’s a closer look at aspects of both and how they are used.

What is qualitative analysis and its types?

Qualitative research involves collecting and analyzing non-numerical data (e.g., text, video, or audio) to understand concepts, opinions, or experiences. Qualitative research is the opposite of quantitative research, which involves collecting and analyzing numerical data for statistical analysis.

What is qualitative analysis example?

Qualitative Analysis is the determination of non-numerical information about a chemical species, a reaction, etc. Examples would be observing that a reaction is creating gas that is bubbling out of solution or observing that a reaction results in a color change.

What is qualitative analysis in statistics?

Qualitative analysis involves the why and how of decision making as opposed to the what, where, and when of quantitative analysis. Qualitative analysis classifies data into patterns in order to arrange and conclude results. The data used can be in many forms such as texts, images, sounds, etc.

Why qualitative analysis is important?

Qualitative data is important in determining the particular frequency of traits or characteristics. It allows the statistician or the researchers to form parameters through which larger data sets can be observed. Qualitative data provides the means by which observers can quantify the world around them.

How do you do a qualitative analysis?

Qualitative data analysis requires a 5-step process:

1. Prepare and organize your data. Print out your transcripts, gather your notes, documents, or other materials.
2. Review and explore the data.
3. Create initial codes.
4. Review those codes and revise or combine into themes.
5. Present themes in a cohesive manner.