Qualitative data analysis is an important part of all qualitative research. Every research starts with collecting quality information, aka data.
The information collected is then organized and analyzed to draw conclusions about the research theme.
The process of organizing and analyzing information collected during this research is commonly known as data analysis in the research world. You can get more information about data analysis and reporting via marketsoft.com.au/reporting-101/.
Analyzing qualitative data can be very confusing because of its unstructured nature. However, data analysis in any form can easily be done using the right methodology.
It is important for you to know that the validity of your research is very dependent on the analysis of your data. In this post, we will show you how to effectively analyze qualitative data. This is a very pleasant process if you start with the right foot.
The right foot for us is to understand what is actually meant by 'qualitative data' and 'qualitative data analysis'. Knowing the meaning of this term will help you know if you are doing the right thing.
What is Qualitative Data?
Qualitative data, also known as descriptive data, is non-numerical data that captures concepts and opinions.
Some examples of qualitative data include transcripts from interviews, audio / video recordings and notes from observations.
What is Qualitative Data Analysis?
Qualitative data analysis is simply the process of examining qualitative data to obtain an explanation for a particular phenomenon.
Qualitative data analysis gives you an understanding of your research goals by expressing patterns and themes in your data.