Updated: Feb 22
The analysis of qualitative data is a challenging task that requires specific skills, practical knowledge, and creativity. As a Ph.D. researcher, you'll be expected to think critically and creatively. You'll also need to make sense of large amounts of information. In our previous blogs, we discussed the features and importance of SPSS in a PhD research. The aim of this article is to introduce you to some key features of the NVivo software package and encourage you to take it further in your research.
So, What Is NVivo?
While there are many software packages available for the management and analysis of qualitative data, NVivo offers some unique ways to analyze and represent your data (Spencer, Ritchie & O’Connor, 2003).
NVivo is a qualitative data analysis software package that helps researchers collect, manage, code, and analyze large volumes of text-based data. It helps you apply rigorous research methods to gather meaningful insights from your data (e.g., interview transcripts, field notes).
Organizes Data Systematically
When conducting qualitative research, you will want to ensure that the results are accurate and repeatable. NVivo allows you to search big data sets and then structure the findings in a number of ways, including word trees, visualizations, and so on. It can also be used to analyze text, audio, and video files. Using NVivo can help you do this by giving you a way to code, analyze and manage your research data in a systematic way so that others can work with it as easily as possible.
Popular For Qualitative Research
It allows researchers to not only view the data but also tag it or create memos to understand the data better. This assists in analyzing and making sense of qualitative data quickly and efficiently. NVivo is often used for social science research where large amounts of qualitative data are collected from interviews, observations, or focus groups (King, 2004).
Efficiency Due To Coding
The NVivo software is typically used to organize data into themes to access data quicker and more effectively. It is simple to detect patterns throughout your data sets by analyzing several codes. This is only possible if the data is correctly categorized and processed. The power of coding saves you the time of finding and analyzing interlinked data manually.
Integration With Social Media
NVivo now supports the import of Tweets, Facebook posts, and YouTube comments to be loaded and coded as part of your data, which is a relatively new phenomenon. As research methods evolve, this might become a critical feature within a few years. The use of dynamic data in research is still newish, although it is becoming increasingly widespread.
NVivo 1:1 Research Assistance
These are only a handful of NVivo's benefits. It's a massive piece of software with a high learning curve. For this reason, The Scholars Professional Editing Group offers qualitative, mixed-method, and quantitative data analysis, as well as associated services, to assist doctoral students to comprehend their data, compose their dissertations more successfully, and defend their conclusions.
Our board-certified NVivo coaches will navigate you step by step through the entire data analysis process in 1-2 weeks through our 3 simple phases described below:
Data Importation, store, organization, code.
Code, theme development, data analysis/queries.
Data visualization, sample write-up template, narrative submission review.
Book a Consultation For NVivo Now: NVivo 1:1 Research Assistance
NVivo is a very powerful tool that can be used for various purposes. It can help you in your dissertation research, qualitative research, and even quantitative research. If you are interested in learning more about how to use NVivo for your own research, please contact our team today.
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King, N. (2004). Using templates in the thematic analysis of texts. In C. Cassell & G. Symon (Eds.), Essential guide to qualitative methods in organizational research (pp. 256–270). London: Sage Publications.
Spencer, L., Ritchie, J., & O’Connor, W. (2003). Analysis: practices, principles and processes. In J. Ritchie & J. Lewis (Eds.), Qualitative research practises A guide for social science students and researchers (pp. 199–218). London: Sage.