Tel: 03-79675738, Fax: 03-79675769, E-mail: ĪBSTRACT Qualitative data is often subjective, rich, and consists of in-depth information normally presented in the form of words. Address for correspondence: Dr Wong Li Ping, Health Research Development Unit (HeRDU), Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. Review Article DATA ANALYSIS IN QUALITATIVE RESEARCH: A BRIEF GUIDE TO USING NVIVO LP Wong MSc, PhD, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia. No prior knowledge of the software is assumed however a basic understanding of qualitative analysis procedures would be helpful.Ĭontact information: The workshops are restricted to 12 participants attending.Malaysian Family Physician 2008 Volume 3, Number 1 ISSN: 1985-207X (print), 1985-2274 (electronic) ©Academy of Family Physicians of Malaysia Online version: Target audience: Postgraduate student researchers and supervisors wanting an efficient means of handling and analysing their qualitative data. Part of the session will also provide an opportunity to practice with your own data. NVivo also has the ability to provide a range of reports or visually model aspects of your project. The queries tool in NVivo also allows for the searching of particular words or phrases, or even the most frequently occurring words in your data. This workshop looks at the ability to assign ‘attributes’ to cases in your project (such as individuals, organisations, or places) and use these attributes to ask questions of your coding e.g., “what did males in their twenties say about the theme I have coded about XYZ?”. NVivo 9.2: Extending Analyses follows on from Working with Data. This includes word documents (such as transcripts), PDFs (including policy documents and literature), spreadsheets, databases, audio, video, and images.

NVivo 9.2: Working with Data is an introductory training course that aims to introduce the range of data types that you can work with and code in NVivo. The University Postgraduate Centre will be running 1 day NVivo workshops for postgraduate student researchers and supervisors in semester 2, 2012. NVivo won’t analyse your data for you, but it will certainly make your life easier when dealing with qualitative data, particularly in the analysis stages. Advantages in doing so include increased flexibility in handling data, easier retrieval of coded information, and analysis tools that allow you to ask questions of the coding that you have conducted. NVivo is the most widely used qualitative data analysis package internationally, and is certainly the most popular choice amongst New Zealand researchers. With the advent of packages such as NVivo, we are now able to achieve the exact same result electronically.

Nvivo 12 assign attributes