Literature DB >> 26137192

The Implication of Using NVivo Software in Qualitative Data Analysis: Evidence-Based Reflections.

F C Zamawe1.   

Abstract

For a long time, electronic data analysis has been associated with quantitative methods. However, Computer Assisted Qualitative Data Analysis Software (CAQDAS) are increasingly being developed. Although the CAQDAS has been there for decades, very few qualitative health researchers report using it. 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. While the issue of mastering CAQDAS has received ample attention, little has been done to address the misconceptions associated with CAQDAS. 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. 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. In other words, researchers must equally know that no software can analyse qualitative data. CAQDAS are basically data management packages, which support the researcher during analysis.

Mesh:

Year:  2015        PMID: 26137192      PMCID: PMC4478399          DOI: 10.4314/mmj.v27i1.4

Source DB:  PubMed          Journal:  Malawi Med J        ISSN: 1995-7262            Impact factor:   0.875


  5 in total

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Review 5.  Women's access and provider practices for the case management of malaria during pregnancy: a systematic review and meta-analysis.

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  5 in total
  37 in total

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7.  Reducing unnecessary vitamin testing in general practice: barriers and facilitators according to general practitioners and patients.

Authors:  H Hofstede; H A M van der Burg; B C Mulder; A M Bohnen; P J E Bindels; N J de Wit; E I T de Schepper; S F van Vugt
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8.  How public health nurses' deal with sexting among young people: a qualitative inquiry using the critical incident technique.

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Authors:  S N Morin; M Djekic-Ivankovic; L Funnell; L Giangregorio; I B Rodrigues; R Ridout; S Feldman; S Kim; H McDonald-Blumer; G Kline; W E Ward; N Santesso; W D Leslie
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