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Qualitative Data Analysis Methods for Your Dissertation
July 11, 2024
Author : Jess Healy

If you are new to the exceptional world of research, qualitative data analysis can look rather intimidating. While working on your dissertation, you might have to deal with complicated terminology, abstract and concepts which can be a minefield!

Furthermore, at this point in your doctoral degree program, you have likely already planned the qualitative research study that is the spine of your dissertation. Moving forward, after obtaining Institutional Review Board (IRB) approval, we will gather and study the data to find connections, patterns, and relationships relevant to the study’s purposes.

Moreover, data analysis in qualitative research is perhaps the most imperative section of the research process. Once you have gathered your high-quality data, as a student, you must take all the information and properly study it to gain relevant insights. Likewise, in this blog, we will discuss all the precise details of qualitative data. Let’s get started!

Collecting Qualitative Data

Qualitative data collection is focused and exploratory on discovery. Therefore, it involves gathering a robust data set so that one can then do deep research on data analysis focused on discovering insights, motivations and reasoning. Since qualitative data concentrates on searching for better understanding, social patterns and meaning, you must prefer to use data collection techniques that can reveal those patterns. In addition, some of the numerous qualitative data collection methods include:

  1. One-on-one interviews
  2. Focus groups
  3. Record-keeping
  4. Observations
  5. Visual records

What is Qualitative Data Analysis and its Vital Approaches?

Qualitative data analysis is gathered through in-person records and interactions in the form of words, observations, and pictures. Hence, compared to qualitative research, which gathers clear numerical data to draw conclusions. Likewise, qualitative research is most often used to explore the how and why of people’s behaviours, emotions and perceptions.

In a similar way, interpreting and analysing qualitative data can be time-consuming and challenging to tackle. It is a process that normally involves reading through many pages of text-based and notes & visual data. Thus, it sometimes listens to hours of audio. Additionally, the study process in qualitative research normally starts as soon as the data becomes available.

Also, analysing your data is imperative to the research procedure, especially since you have likely spent a lot of effort, time and money gathering it. In an effort to plan conducting the most beneficial analysis, you should first need to understand the two primary methods to qualitative data analysis methods.

1. Inductive Approach

It is a time-consuming process and thorough analysis method to qualitative data analysis with no predetermined rules or structure. Moreover, you might use this method in order to specify emerging patterns to reflect what can be discovered.

2. Deductive Approach

In this particular method, qualitative data is studied based on a format that is predetermined by you, who can then develop and use questionnaires as a guide for studying the qualitative data. In the other word, this approach is preferred when you want to examine specific categories of data and information in relation to previous analyses or theory. It can be blended with an inductive approach.

Data for Analysis of Dissertation

How do you Prepare Data for Analysis of Dissertation?

Qualitative data analysis preparation occurs at the same time as preparing a dissertation because analysis in qualitative research starts as soon as the data is received. Furthermore, here are the vital steps that are mentioned below:

1. Become Acquainted With the Data

Almost all qualitative data is in a prepared narrative structure. Therefore, you will have to read the data multiple times to become familiar with it and start recognising patterns and similarities more precisely. 

2. Review Research Objectives

In a qualitative research study, you will have to review the study’s purposes and glean queries or hypotheses that can be answered through the gathered data. However, this is the opposite of data analysis in qualitative research, which gathers data and information to answer predetermined hypotheses or questions.

3. Creating Data Structure

Variation is typical in qualitative data because this form of research elicits a wide range of data and appropriate information that is typical in discovery-based research. Thus, as data is gathered, you, as a qualitative researcher, will often develop and identify codes to the data that help structure and categorise the mass of information.

4. Discover Patterns and Connections

Once the qualitative data is gathered and coded, you will start identifying themes for your dissertation. You can do this by looking for better patterns in the responses to queries and studying how these answers are the core questions that drive the research.

Qualitative Data Analysis Methods

There are several methods available for studying to get vital data analysis assignment help. Therefore, the method you pick will depend on your research questions and objectives. Nevertheless, here we have mentioned some of the most typical qualitative data analysis methods that will help you finish your dissertation before the submission deadline.

1. Content analysis

This method is used to study documented information from texts, media, tangible items and email. You have to use this method to analyse responses from a huge number of datasets, often hundreds of pages of publicly available data, as well as from the vital interviews.

2. Thematic analysis

This approach concentrates on a ground-up or inductive approach to discovering patterns in the qualitative data analysis through a series of coding exercises to develop themes.

3. Narrative analysis

This method analyses story-based content from numerous sources such as interviews, media and so on. You have to use this approach to find stories and make master narratives based on the qualitative data to answer their research questions.

4. Phenomenological analysis

This method studies the way that all participants in the study explain their “lived experiences” using a particular method that concentrates on what is meaningful to the participants.

5. Grounded theory

This approach uses qualitative data analysis methods to explain a specific phenomenon and to develop a theory based on extensive interviews, observations, and other essential data collection techniques. Furthermore, there are numerous qualitative data analysis methods to pick from, but these are the most common methods that will help you as you finalise your dissertation. 

Applying Data Analysis to Your Dissertation

When done accurately, qualitative data analysis can deliver a solid foundation for the outcomes and discussion categories of your doctoral dissertation. Thus, it is essential to conduct a thorough and careful data study in order to derive insightful and meaningful findings.

If you are dealing with any portion of qualitative data analysis while preparing your dissertation, speak with your university professor or teacher. Likewise, they will be happy to help you with your dissertation.

Final Words!

If you are looking for professional dissertation help assistance, then look no further than My Assignment Services. Our top-notch assignment experts can help you from start to finish. They have a relevant amount of experience in the field of all doctoral degree programs. Our academic experts make sure to include relevant details in your assignments. Additionally, our main agenda is to make you understand your subject more effectively so that you can get your desired results while having proper knowledge about your assignment. So, what are you waiting for? Call us today to get our valuable assistance on all your academic assignment queries without thinking about your budget. It’s time to lead the academic race of best performers!

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About the Author

Jess Healy

Jess Healy is a dissertation writing professional who began with guest lectures at the universities in Manchester in 2011. He specialises in several fields such as literature, linguistics, creative writing and semantics. With his passion for learning and reading, he received the “Best Researcher of the Year” award in 2017. He believes in his values and is committed to boosting student success inside and outside the educational institutions. Jess joined My Assignment Services in 2014 and is now leading two of the company’s major projects.

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