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Showing content from https://doi.org/10.1136/bmj.320.7227.114 below:

Analysing qualitative data | The BMJ

1. Analysing qualitative...
2. Analysing qualitative data

1. Catherine Pope, lecturer in medical sociology (c.pope@bristol.ac.uk)a,
2. Sue Ziebland, senior research fellowb,
3. Nicholas Mays, health adviserc

1. ^a Department of Social Medicine, University of Bristol, Bristol BS8 2PR
2. ^b ICRF General Practice Research Group, University of Oxford, Institute of Health Sciences, Oxford OX3 7LS
3. ^c Social Policy Branch, The Treasury, PO Box 3724, Wellington, New Zealand

1. Correspondence to: C Pope

This is the second in a series of three articles

Contrary to popular perception, qualitative research can produce vast amounts of data. These may include verbatim notes or transcribed recordings of interviews or focus groups, jotted notes and more detailed “fieldnotes” of observational research, a diary or chronological account, and the researcher's reflective notes made during the research. These data are not necessarily small scale: transcribing a typical single interview takes several hours and can generate 20–40 pages of single spaced text. Transcripts and notes are the raw data of the research. They provide a descriptive record of the research, but they cannot provide explanations. The researcher has to make sense of the data by sifting and interpreting them.

Qualitative research produces large amounts of textual data in the form of transcripts and observational fieldnotes

The systematic and rigorous preparation and analysis of these data is time consuming and labour intensive

Data analysis often takes place alongside data collection to allow questions to be refined and new avenues of inquiry to develop

Textual data are typically explored inductively using content analysis to generate categories and explanations; software packages can help with analysis but should not be viewed as short cuts to rigorous and systematic analysis

High quality analysis of qualitative data depends on the skill, vision, and integrity of the researcher; it should not be left to the novice

In much qualitative research the analytical process begins during data collection as the data already gathered are analysed and shape the ongoing data collection. This sequential analysis1 or interim analysis2 has the advantage of allowing the researcher to go back and refine questions, develop hypotheses, and pursue emerging avenues of inquiry in further depth. Crucially, it also enables the researcher to look for deviant or negative cases; that is, …

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