Qualitative Studies are often not quite as small N

Qualitative studies are often described as small N studies because the number of respondents is small. I argue that this is the wrong perspective: What we really have in qualitative data, say interviews, is lots of data (points) clustered within individuals. Rather than focusing on the number of respondents, we should probably focus on the number of relevant statements (i.e. statements about our quantity of interest), and describe this number (along with the number of respondents). When computer aided qualitative data analysis (CAQDA) is used, I guess the number of tags relevant to our quantity of interest is that number. Seen this way, many qualitative studies are no longer small N studies, but we’re still faced with unstructured, messy data that may be difficult to analyse, and of course we don’t have independent observations — so generalization remains a challenge.

Review of ‘Politicisation of Migration’ (“SOM Book”)

Almost exactly two years after the publication of The Politicisation of Migration, the book outlining some of they key findings from the SOM project on the politicization of migration, I am happy to announce a review of the book in REFUGE – Canada’s Journal on Refugees. Mark Maguire does a commendable job of synthesizing the book and highlighting potential future areas of work. The book is available from Routledge.

“I don’t care about cookies” breaks ORCID — easy fix

I have discovered that the Firefox add-on “I don’t care about cookies” breaks ORCID in the sense that the ‘visibility buttons’ on ORCID are not shown when editing the ORCID record. After experimenting a bit, I discovered that it was the said add-on that somehow breaks the page. There’s an easy fix: white-list orcid.org by visiting the page, right-clicking “I don’t care about cookies” > “disable on orcid.org”. Done.

Another one to watch: jamovi for stats

Here’s another open statistical program to watch: jamovi. Like JASP, jamovi is built on top of R. Unlike JAPS, jamovi is not focused on Bayesian analysis, but wants to be community driven. This means it has plugins (‘modules’) where others can contribute missing code. With its easy to use interface — as we know it from JASP –, jamovi is bound to appeal to many researchers and those familiar with SPSS will find their way around without problems. This is definitely one to watch.