Not only do these add to your audit trail, these entries will help contribute to your first draft and the process of moving towards theoretical thinking.
Qualitative researchers move back and forward between their dataset and manuscript as their ideas develop.
Veronika suggests that collecting and analysing a smaller dataset well is preferable to producing a superficial, rushed analysis of a larger dataset.
5) Blur the boundaries between data collection, analysis and writing up Veronika strongly recommends keeping a research diary or using memos to jot down your ideas as your research progresses.
Be open to considering there are alternative ways to generate and understand knowledge.
2) Reflect on your role Quantitative research strives to produce “clean” data unbiased by the context in which it was generated.Simply stating that ‘there is a knowledge gap’ is not sufficient.The article needs to include a comprehensive review of the field of study so that the reader knows where this research fits, and what it helps to address. Qualitative methodology shouldn’t be used just because the researcher is familiar with it; there should be a clear connection between the problem and the research methodology.Undertaking an MSc dissertation in Evidence-Based Health Care (EBHC) may be your first hands-on experience of doing qualitative research. Veronika Williams, an experienced qualitative researcher, and tutor on the EBHC programme, to find out her top tips for producing a high-quality qualitative EBHC thesis.1) Make the switch from a quantitative to a qualitative mindset It’s not just about replacing numbers with words.We need to be able to sieve through articles and decide for ourselves whether the paper’s topic is relevant and the findings are trustworthy.There are certain strategies that can help when critiquing research, our own or that of others.Veronika warns against falling into the pitfall of thinking writing up is, “Two interviews said this whilst three interviewees said that”.7) It’s not just about the average experience When analysing your data, consider the outliers or negative cases, for example, those that found the intervention unacceptable.This isn’t about getting to the “right answer” rather it offers you the chance to refine your thinking.Be sure, though, to fully acknowledge their contribution in your thesis.