What is Qualitative Data Analysis?
First of all one surely wants to know that what is qualitative data analysis? It is actually a form of data without numeric digits for example, data of sound or visuals or any type of text are all qualitative data examples. The qualitativedataanalysis.net has a lot of information available on this subject.
Categories of qualitative data analysis
Qualitative data analysis is divided into following five categories;
1. Content analysis
This is the process of organizing data which is in the form of text or audio etc in to tabular form and categorize it accordingly.
2. Narrative analysis
This type of analysis is actually a revision of qualitative data which is presented by the respondent. In this category, data is reformulated based on experience of each respondent. Navigate here to learn more.
3. Discourse analysis
This is the analysis of data which is in the form of everyday naturally occurring talk and other all types of written data in the form of text.
4. Framework analysis
It is an advanced type of data analysis which involves advanced methods and several stages, including coding, charting and interpretation.
5. Grounded theory
This method of data analysis is started with a single story and then other cases are analyzed to see if they contribute to the theory formulated by that single story. This blog post; https://www.qualitativedataanalysis.net/our-qualitative-and-quantitative-data-analysis-services/qualitative-data-analysis-coding-service/ has a lot of information about grounded theory.
Qualitative data analysis can be understood by the following three steps;
- * First step is coding of data which is a form of categorization of data. A code can be assigned to qualitative data.
- * Unlike quantitative data analysis there are no set of rules or techniques that can be used overall for all data to get the same results. Nevertheless, there are some techniques, such as repetition of words and metaphors.
* Last step is summarizing of data to form a conclusion – check over here
