Thursday, January 27

3 Methods for Analysing Qualitative Interview Data – Expert’s Guide

Qualitative data analysis is quite difficult to interpret. And also so, flexible and dynamic and is very difficult to apply. So, basically it is that why been criticized a lot.

There are specific and complex guide lines that need to be considered while conducting the analysis. Therefore, persuasive essay writing service provider conduct research papers according to the methods described by clients. And prefer these three methods of conducting interviews.

What basically is qualitative data?

The qualitative research is the market research for examining or conducting the data into communication and open ended ways to obtain data. You can also understand this research through an empirical study where is no relationship with numbers.

The qualitative data covers observations, pictures, words and symbols. These data are related to concepts, opinions, values and performance of humans in a social context.

What are the data analysis and their tools?

The qualitative data analysis comprises of interviews, transcripts, notes, videos audio recording, text and documents. There are basic steps to analysis data and interpret each of it time to time.

  • First you need to be familiarised with read and read the data, note down every detailed points, expressions and actions plus observe minors details and turn it to valuable data.
  • The second step is to identify the questions regarding individual, group or a case and turn it into specific answers for analysis.
  • The third is to transform that re –read notes and question into an answerable text and indexing your data analysis or coding them. The coding is done for aligning themes or patterns that is meant to have ideas, concepts, behaviours and interactions. The coding is the systematic approach done to provide a framework that will be used for defining, interpreting and labelling those data.
  • The coding has been done now is the time for making connections and identify patterns. These connections will be helpful to categories these themes and make relationships between them.
  • The step by steps are done now is the time to interpret data and explain findings. You need to build those themes and patterns into a significant data and a meaningful one.

Methods for analyzing qualitative interview data

When conducting qualitative interviews first you need understand what types of interviews are there. Basically, there are three types or categories according to the study you will conduct. There are two methods of collecting data in qualitative research.

  • Focus group
  • Semi structured interviews
  • Structured interviews

Let’s find out 3 methods of analyzing qualitative interviews and how these methods are helpful in conducting a research data.

Thematic content analysis

The most basic types of data where you need to interpret according to the coding, analyzing and categorizing each numerical data. It is a process which designs to verbalize the data to classify and summarized them accordingly. The thematic content analysis defines as a frequent process of making messy data turn into themes or categories in the data.

The process starts with…

Getting use to data by reading and rereading

Whatever data you have such as audio taping, interview notes and video recording should be in a proper written form. In this phrase you must go through each interview sections and try to be detailed and keen in analyzing data for coding purpose. This process of putting data into meaningful form is known as transcribing data.

To understand the content need to add codes

After transcribing data into meaningful sentences now is the time to describe each of them. Means you need to add codes so that things must be more understandable and easily interpreted.

Reread again to form a theme in the given data

After assigning each data into related codes the next step is to make themes out of it. These themes are helpful to get knowledge of data in an interpretative manner. They are termed as broader in a sense that can correlate further information that couldn’t be seen before.

 Select and interpret through names themes

After doing all the rechecking and rereading all the themes and removing those which are repetitive and not relevant enough. The themes you have selected should be named and explained why this theme is so catchy. Describe and naming is done in this section of phase.

Report to be produced

Now is the time for constructing report input all the final results in a piece of document?  The thesis service has suggested the thesis writers to structure a report that can be useful for readers to understand.

Narrative Analysis

The Narrative interviews are not like other interviews such as one on one interviews or the one that is question answer based. However, this type of interviews are considered to be story telling. The participants can have opportunity to express their experiences or stories to research that can go straight to the research report. The analysis is done through…

  1. Identifying a participant to generate story
  2. Study each story and find meaningful information out of it
  3. Construct a comparative analysis of different stories and search for interpretation
  4. Transform a new creative story that relate to the previous stories in more intuitive way

Deductive Approach

This theory is also known as analysis theories means the research begins with a hypothesis, a statement or a theory. In this form of analysis one has the predetermined framework or the one that already exist at some point. This is basically an in-depth study or understanding that is quick and easy to approach.

  • To do this study one needs to frame the structure first…
  • First start a predetermined theory or statement
  • Generate a hypothesis based on the pre-existing theory
  • Data collection methods to test the hypothesis
  • Execute results on the basis of rejection or support of the hypothesis


The research then simply adds on their final results into the software to get a final piece of result.  Though these research software are not that capable of analyzing, interpreting and executing data. The best software that is commonly used is SPSS however, there are more relevant ones that can be useful to generate data.

Author bio

Hey, my name is Elizabeth Jordon I am a research analyst, a PHD consultant currently working in Eazy research finding ways to shape the words into meaningful information for my reader.



Leave a Reply

Your email address will not be published. Required fields are marked *