Instructors

Faculty

Whichever CAQDAS packages you are teaching, and whether you are doing so in a workshop or semester-based format, Five-Level QDA can help you teach your students to plan their analysis, choose their software tools appropriately, and shorten the time to complete their studies.

Many teachers are uncertain when and how to introduce technology into research methods courses. Five-Level QDA is a method that can be used to ensure that learners fully appreciate that their methodology drives the analytic process, and not the capabilities of the software. It provides a process to teach the identification of analytic tasks and to translate them into appropriate software operations. The method is adaptable to different teaching modes, and has been successfully used in workshops, semester-based and on-line courses. In addition it can be implemented according to the preferred sequence of instruction, whether methods followed by technology, or methods via technology.

Testimonials

The 3 day NVivo course was based around Five-Level QDA and was an excellent balance between the technicalities of using analytical software and its real-world use as a research tool. Christina grounded the training in how to conduct high quality post-graduate research as a means to enhance good research practice, allow effective data analysis, and support research project management. This is far preferable to an approach focusing largely or wholly on the technical details of software, with little relation to conducing actual academic research. Although the 3 days was very intensive it comes highly recommended.
Simon Cox
PhD Student, Nottingham Business School, Chief Officer, NHS Scarborough and Ryedale Clinical Commissioning Group

Blog

Coding is a process, not an event

Coding is a process, not an event
By Christina Silver on Nov 21, 2017 at 06:04 PM in CAQDAS commentary

What lies behind the red flag question: “I’ve done all my coding – now what?” In my last blogpost I considered the first likely culprit: starting to code before thinking through its purpose. But thinking about the purpose isn’t enough. A second issue is the need to think about coding as an on-going process – not as a single event that gets “done” before moving on to the next event. Coding is the opportunity to repeatedly connect with our data.

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"OK I've done all my coding. What's next?" Err, didn't you plan that already?

By Christina Silver on Nov 07, 2017 at 10:47 AM in CAQDAS commentary

Yet again this week I was asked the red flag question in a CAQDAS workshop: “Coding’s done. Now what?” This flags the inappropriate use of CAQDAS: no analytic planning done before plunging into helter-skelter coding. In this post and the next I’ll deal with the two underlying problems: starting to code without thinking about its purpose, and thinking of coding as an event rather than a process. Taken together these can result in a mass of codes that don’t lead to a thoughtful response to the research question. First: how to think about the purpose of coding.

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Translation in Five-Level QDA: What's in a name? Actually, quite a lot

Translation in Five-Level QDA: What's in a name? Actually, quite a lot
By Nicholas Woolf on Jul 07, 2017 at 07:00 PM in Five-Level QDA in practice

“Translation” is the key concept in our Five-Level QDA method, so it’s important to know what it means. The word just showed up in the title of Susanne Friese’s blog post on the ATLAS.ti website – “Translating the process of open/initial coding in Grounded Theory” – and Susanne ended by inviting readers “to read more about this process of translation” in our textbooks on the Five-Level QDA method coming from Routledge in September. But as Susanne uses the word “translation” in a very different way from us we want to clear it up right away.

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Don't lose your analytic reflections: The value of writing spaces in CAQDAS packages

Don't lose your analytic reflections: The value of writing spaces in CAQDAS packages
By Christina Silver on Jun 17, 2017 at 09:30 AM in CAQDAS commentary

Writing spaces are one of the most valuable features of dedicated CAQDAS packages. But I often see projects that make little use of them. Here’s why they are so potentially powerful.

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Harnessing NVivo Classifications: it's all about units

Harnessing NVivo Classifications: it's all about units
By Christina Silver on May 29, 2017 at 06:01 AM in NVivo Learning, Five-Level QDA in practice

Kath McNiff’'s post on the NVivo Blog about classifying data in NVivo has prompted me to get writing about how I deal with this teaching challenge. For me, teaching students to choose between the available tools for classifying data and how to harness them appropriately revolves around units.

For years I've experimented with different ways of teaching how to harness the NVivo tools for classifying factual characteristics of data and respondents - for example the socio-demographics of participants or the metadata about documentary evidence. One of the great things about NVivo is that it offers several different ways of doing this, making it a very flexible tool.

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