NVivo

Slides – Free and Open Source QDAS: You have nothing to lose but your licence fees!

Categories Outputs, PythiaQDA, Slides, Uncategorized

Here are the slides from my seminar on why proprietary software is hindering innovation in qualitative analysis and using the design philosophy of PythiaQDA to illustrate the revolutionary potential of free software as an alternative. Basically, the seminar was an excuse for me to bring together some of my favourite topics – qualitative research, free software, Marxism, the horrors of NVivo, and my plans for PythiaQDA. The seminar is part …

Read moreSlides – Free and Open Source QDAS: You have nothing to lose but your licence fees!

A Qualitative Computing Revolution?

Categories Methods, PythiaQDA, Social Science, Software

The challenges of data management and analysis on a large longitudinal qualitative research project Computer aided qualitative data analysis has the potential to revolutionise both the scale of research and possible analysis techniques. Yet, the software itself still imposes limits that hinder and prevent this full potential from being realised. This post looks at the large and complex dataset created as part of the Welfare Conditionality research project, the analytical …

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Upcoming workshop presentation – ‘XVivo: The case for an open source QDAS’

Categories News & Events, PythiaQDA, Upcoming

I will be doing a presentation on the need for qualitative researchers to embrace open source software and my work on Pythia as part of the Urban Studies’ Monday workshops at the University of Glasgow on 26th November. Abstract: Qualitative data analysis software (QDAS) has the potential to revolutionise both the scale of qualitative research and the array of possible analysis techniques. Yet currently available software still imposes unnecessary limits that …

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How to use a Word macro to fix interview transcripts for auto-coding in NVivo

Categories Software, Tutorials

Within NVivo, and likely other QDAS packages as well, it is possible to use the structure of interview transcripts for auto-coding. Basically, what auto-coding does is go through the transcript and using criteria specified by the user assigns text to chosen nodes (further explanation of auto-coding and how to do it in NVivo is available on the NVivo help website). This can be useful to separate out the different speakers …

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Improving NVivo with AutoHotKey: Faster Attribute Values Input Script

Categories Dev, Software

The core component of the fieldwork for the Welfare Conditionality research project is an on-going three waves of qualitative interviews with 481 welfare service users sampled across nine different policy area. In order to assist with descriptive statistics and finding subgroups amongst our sample, we have a set of key attributes such as the participant’s age, household, benefits received,  etc. Furthermore, we have additional attributes specific to each policy area. …

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