Reading - Qualitative data analysis and Cohen's Kappa

Recent work has largely been about coding (qualitatively speaking, not computerly speaking). Both my own data and that of others. Since I’ve been second coder on a colleague’s work, I spent some time reading about Cohen’s Kappa, a method used to measure agreement between coders.

Some useful resources and why they’re good:

• Tutorialspoint on Cohen’s Kappa - this is simpler and clearer than many other descriptions I could find, and I felt comfortable following what was going on.
• The Research Methods Knowledge Base - it’s less in-depth than Research Methods: a Process of Inquiry (I bought a second hand old-edition ex-library copy of this horribly expensive book), but it’s still very helpful and it’s ctrl+f able, unlike a paper book.
• Paper: Qualitative and Descriptive Research: Data type versus data analysis - this is a theme I recall asking Caroline about early last year, as I thought of qualitative research as, say, an interview or text-response survey whereas quantitative analysis was about maths and numbers - but she pointed out to me that the analysis rather than the data gathering was also relevant. I love this quote from the paper above:

In such research, the data may be collected qualitatively, but it is often analyzed quantitatively, using frequencies, percentages, averages, or other statistical analyses to determine relationships. Qualitative research, however, is more holistic and often involves a rich collection of data from various sources to gain a deeper understanding of individual participants, including their opinions, perspectives, and attitudes. Qualitative research collects data qualitatively, and the method of analysis is also primarily qualitative.