Qualitative analysis, an exploratory research, is used in different fields of study including, but not limited to, social science, business, nursing, humanities, medicine, and education. Qualitative analysis method determines the multitude of artifacts and obtain underlying reasons, opinions, and motivations. The data analysed typically consist of a huge variety of formats and interviews, written records, video, audio, or questionnaires. Today, several softwares such as Atlas.ti, Maqxda, NVivo, etc. are available out there to perform qualitative data analysis. Although both the softwares are equally good, a few features of NVivo are proved to be more valuable when compared to others. 

NVivo, a QDA software package was developed by QSR International. This software was designed for researchers dealing with very rich text-based and/or multimedia details, especially where deep level of analysis on large and small set of data is required. The factors that make NVivo it a reliable tool are:

1. Offers structured and organised approach to analysis

Regardless of the methodology adopted by a researcher, a systematic method is essential to make sure that qualitative data analysis process is undertaken in a rigorous manner. NVivo provides a good structure for during the process, lets you keep track of transcripts, enables you to view the coding process is being progressed and also note the emerging ideas via memos. If you need any help in performing transcription, take help from professionals offering PhD consultancy services.

2. Lets you store and organise data at one location

NVivo provides a place to store, organise, and retrieve the data so as to help researchers work more efficiently, save time and back up results with evidence. It also enables data import from sources such as audio,text, video, images, online surveys, and many more. In addition to this, NVivo has advanced data management, query and visualisation tools, which makes the data analysis process an easier one. 

3. Sub-group analysis is made easy

Marking up themes on paper copies of transcripts can be easily done for small set of data. However trying to look at such details manually across a large number of participants, while exploring responses by various sub-groups within the sample is definitely a strenuous task. But is now made easy with NVivo, as it has several features such as matrix coding queries that make sub-group analysis process an effortless one. Looking for some assistance in conducting sub-group analysis, talk to consultants providing PhD consultancy services in Chennai. 

4. Lets you to work with various types of qualitative data 

NVivo enables you to analyse different data formats by using the same thematic (node) structure. For instance, you can import PDFs, journal articles, etc, and compare participants reported with the existing literature on the chosen topic. If a survey is undertaken with a couple of open-ended questions, then you can import an Excel file containing the data and code it alongside transcripts from semi-structured interviews.

 In addition to the above mentioned benefits, NVivo lets you extract information from selected criteria, categorise the data, automatically sort themes & attributes and exchange data with SPSS.

Now that you know the advantages of using NVivo, switch to it and perform data analysis efficiently.