CAQDAS are basically data management packages, which support the researcher during analysis. In other words, researchers must equally know that no software can analyse qualitative data. The key message is that unlike statistical software, the main function of CAQDAS is not to analyse data but rather to aid the analysis process, which the researcher must always remain in control of. NVIVO looks at qualitative information to identify themes, materialize and managing the data, classifying and arranging the data into vases for better analysis of the data. There are many more in the market, hence it is advisable to review tool comparison articles prior to selecting a tool for this type of research management purposes. In this paper, the author reflects on his experience of interacting with one of the popular CAQDAS (NVivo) in order to provide evidence-based implications of using the software. NVivo is only one qualitative data analysis tool made available. Qualitative research involves the collection of unstructured information from sources such as social media content, interviews, or open-ended question that may necessitate NVivo data analysis services to organize, analyze, and deduce meaning and insights for different purposes. The PDF versions of 10 journal documents exported from HowNet (CNKI) are simply sorted and imported into the software as internal materials for coding and analysis. While the issue of mastering CAQDAS has received ample attention, little has been done to address the misconceptions associated with CAQDAS. NVivo Data Analysis Services Conducted by Experts. In this paper, NVivo 11 qualitative analysis software is used as the coding tool. This may be due to the difficulties that one has to go through to master the software and the misconceptions that are associated with using CAQDAS.

Although the CAQDAS has been there for decades, very few qualitative health researchers report using it. However, Computer Assisted Qualitative Data Analysis Software (CAQDAS) are increasingly being developed. For a long time, electronic data analysis has been associated with quantitative methods.

Qualitative analysis using nvivo