We serve students, researchers, and faculty in one key area of the qualitative research process

Who We Serve

We serve students, researchers, and faculty in one key area of the qualitative research process: harnessing tools to fulfill analytic strategies, when dedicated CAQDAS packages have been chosen for this task.

A major purpose of Five-Level QDA is to lay out the entire picture, the full range of activities that have to be addressed in a qualitative project, of which choosing and harnessing the tools to use is but one.

In these pages we describe how Five-Level QDA is relevant to:

  • students facing their first major in-depth research project;
  • researchers undertaking many different kinds of projects; and 
  • faculty helping  their students to learn and use these CAQDAS packages.

Testimonials

I highly recommend Nick Woolf's workshops. I learned more in two days than in months of tinkering on my own. Nick does a masterful job of blending didactic instruction with one-on-one coaching.
Kimberly Jinnett, Ph.D.
Senior Evaluation Officer, Wallace-Readers Digest Funds, The University of British Columbia

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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