Types of qualitative analysis

Written by robert godard
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Types of qualitative analysis
One approach to qualitative research is to conduct interviews. (Jupiterimages/Photos.com/Getty Images)

Qualitative research describes the collection of data from a sample group of experts or average people. The purpose of qualitative research is to reach some sort of consensus of opinion. Once data is gathered, an analysis must be made and there are several approaches to sorting out data that is collected through qualitative research.

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For qualitative data to be analysed properly it must be prepared and organised in such a way that it can be read. Data can be collected through interviews, focus groups, interviews or other research methods. Notes should be taken by field researchers throughout data collection so that exceptions or anomalies do not get confused later. After that, gather all of your results and decide on the best way to derive a conclusion.

Coded Analysis

Coded analysis involves taking data groups and organising the results into groups. Each one of these groups is then given a "code" that reflects what makes these results similar. From there, a researcher can begin to understand why there may be more consensus in one code versus another. Coded analysis was developed by Seidel in 1998. He assigned three steps to the process. The first was collecting, or gathering data, the second was noticing, or dividing them into different codes and the last was thinking, or analysing the data based on these codes.

Thematic Analysis

Thematic analysis is similar to coded analysis, but results are grouped by theme. Thematic analysis is useful because themes are produced by the results of the research and are not invented by the researcher, leading to less bias. A theme can be as simple as a certain opinion of a particular product. Group the results naturally and organically when organising themes.

Discourse Analysis

Discourse analysis does not focus on the results or answers to questions that were gathered, but rather patterns in speech and the written word. It is not necessarily important what participants say, but how they see it. , It is important that complete notes be taken during the course of data collection if you are using this type of data analysis. It is useful to employ several researchers to take notes so that everything is recorded.

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