Best Guidelines to Do Qualitative Analysis of Literature

Are you confused about doing a qualitative analysis of literature? If you have not collected qualitative data such as written comments or feedback, forum conversation, or a surveying activity and are unaware of the essential techniques needed to analyse your literature with proper analysis. Then you are at the right place. It is very challenging to unpack large amounts of data from qualitative literature. However, you can quickly draw insights from your qualitative data with appropriate guidelines and little preparation. This article has listed some quality guidelines for conducting a qualitative analysis of literature.

What Is Qualitative Analysis?

In qualitative analysis, subjective judgment is used to analyse qualitative data. Qualitative data is unstructured and non-numerical. Examples of qualitative data are user interviews, open-ended answers to questions, audio, videos or photos. A qualitative literature review is usually a systematic review in which information is collected by comparing the findings of various qualitative studies. After the data collection, a qualitative method is used for the qualitative analysis of literature.

Guidelines For A Better Qualitative Analysis Of Literature:

Set Your Goal:

You cannot effectively do the qualitative analysis of literature without setting a reasonable goal. Before starting your research, you must orient yourself with what you want to achieve and learn. Without this, you cannot come up with a suitable method of qualitative analysis to do your research. The correct method of qualitative analysis can give you a better outcome and result of your investigation. Therefore, setting the right research goals will guide you in identifying the best research processes for the best results.

Your goals must also include the participants you are targeting for your research. Selecting a targeted segment of people for analysis will give you more meaningful results than randomly visiting people for data collection.

Choose The Appropriate Data Collection Method For Your Research:

Data collection is the first step of the qualitative analysis of literature. Data collection means gathering all the valuable data for your research. For better analysis, it is crucial to choose an appropriate method for qualitative data collection. You can also get dissertation help online for this. The table given below shows different plans for the collection of qualitative data:

Classic ways to gather qualitative dataIt includes traditional ways such as doing focus groups, running surveys, and taking interviews.
Use of existing qualitative feedbackMany channels collect unstructured feedback. This feedback can help you find most of the answers to your research questions
Use untapped qualitative data channelsThere are many channels where you can get the best qualitative data, such as Facebook, Twitter, online communities, online forums or review sites.

Organise Your Data For Qualitative Analysis:

You cannot do a practical qualitative analysis of literature when the data you collected is unstructured. All your data must be appropriately organised in a single place. This way, you can quickly summarise and decide on the collected data. You can clean and transform your qualitative data in many ways. Details are given in the table below:

Manual approachIt is a traditional way of organising data into a spreadsheet. Another manual approach is to store data in a central database such as Amazon Redshift or Snowflake
COQDASIt is software used for qualitative analysis of literature. Qualitative data is imported into it for coding. Many researchers use this software for the organisation of data as it allows group collaboration and to share datasets easily
Using feedback repositoryYou can also organise your data by uploading it into the feedback repository. It can be unified your data with other data. It is easily searchable. For instance, EnjoyHQ is a research repository that boasts search engine performance.
Using a feedback analytics platformIf you have a lot of employee or customer feedback in the form of qualitative data, then the feedback analytics platform is the best option to organise your data. It automates the process for both thematic analysis and sentiment analysis. This software will manage your data and ready it to be coded and themed.

Coding To Extract Meaningful Insight:

After the data organisation is in one place, you are set to do the coding. Coding refers to the process of organising and labelling data to identify themes and the relationship between them. In coding, you take phrases or keywords and assign them a category. For instance, “I love the service of this company” can be coded as“good services”.

It would be best if you first took small samples from your qualitative data to simplify the coding process. It can help you achieve consistency and accuracy in your qualitative analysis of literature. There are many software that can help in the process of coding. The most popular method is still an excel sheet.

Run Your Queries:

After coding, the next step is to run your queries. This means you try to look into your data for insights. Following are some suggested questions for the qualitative analysis of the literature:

  • What are the responses of participants?
  • What are the most concerning issues?
  • What are the relationships between these issues?

Tell a Strong Story Through Reporting:

Reporting is the final and crucial step in the qualitative analysis of dissertation literature review. It is an excellent opportunity for you to tell a powerful story about things you have analysed and learned so far. In this step, it is important to remain transparent. Using your insights correctly would help make a strong narrative about the topic and issues. For better analysis, you can use related visuals, graphs and charts to allow readers to understand your findings better. 

From the above guideline, you have learned an easy process to follow for the qualitative analysis of literature. This guideline will help you organise your qualitative data, determine codes, run queries and report your findings. Using these steps as a part of a qualitative analysis of literature will ensure that you have a clear path for collecting and reporting your data.

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