The CESSDA Data Management Expert Guide (DMEG) is designed by European experts to help social science researchers make their research data Findable, Accessible, Interoperable, and Reusable (FAIR). They have made available an expert guide for data management, freely (of course) on Zenodo.
The basic setup is quite simple, we look at data on the politicization of immigration — our update on the SOM project. It’s a broad understanding of politicization, looking at how different actors (broadly defined) talk about immigration and immigrant integration. We use claims-analysis using printed newspapers as the basis, which allows us to compare the situation over time. We then examine how the nature of politicization differs during times of crisis compared to non-crisis periods.
We have N=2,853 claims to examine, the oil crisis of the 1970s and the financial crisis of the late 2000s as two external crises not directly related to immigration. Theoretical considerations provide us with expectations of how claims-making during periods of crisis differs qualitatively: we look at salience (how many claims are made), polarization (the positions taken in claims), actor diversity (who makes the claims), and frames (how claims are justified).
And then you sit down to define the crisis periods… we started with discussions in the team, soon realizing that we don’t agree. Then we went to the literature, trying to find a more authoritative definition of when these crises started and ended. And then we fully embraced uncertainty: basically there is no agreement on when these crises stared or ended. The solution is also relatively simple: we just used all the possible definitions (a bit of combinatorics there…) and run separate regression models. 7,524 of them to be precise. The nice thing with that is that you really have to embrace uncertainty, and that graphs really are more intuitive than any arbitrary measure of central tendency.
Yes, you get things that are fairly obvious (we can quibble about effect size):
and you get things that are simply unclear, with values around zero quite credible, but would you bet against en effect size of +0.05 or -0.05?
What I really like about this kind of presentation is that it naturally embraces our uncertainty about the state of things. Yes, “crisis” is vague as a concept, yes, it is difficult to operationalize it (otherwise we would not run 7,524 regression models), but we still can discern systematic patterns of how the politicization of migration in times of crisis differs from non-crisis moments.
Bitschnau, Marco, Leslie Ader, Didier Ruedin, and Gianni D’Amato. 2021. “Politicising Immigration in Times of Crisis: Empirical Evidence from Switzerland.” Journal of Ethnic and Migration Studies. Online First. doi: 10.1080/1369183X.2021.1936471. [ Open Access]
It’s a guide of 29 migration journals you might want to consult once in a while if you consider publishing in migration journals.
What do you get?
The first thing you’ll notice is a list of (currently) 29 migration journals — with a relatively broad understanding of ‘migration’. As is probably necessarily the case, we can quibble about the inclusion of journals in such a list, but in my view the PRIO guide provides a pretty good overview of the publishing options. Having such a list in itself is greatly useful.
It doesn’t stop here, though, far from it! For each of these 29 journals, you get a detailed portrait that should help you decide whether the journal is a suitable outlet for your research. The headings included are relevant for researchers, and I really like how they managed to provide information about the impact factor without listing it (or other similar measures). (unlike my blunt summary here).
Perhaps the most useful part (but also the most difficult one, thus possibly also the one where we might not always agree) is at the end, where they have picked typical articles. On the one hand, this saves you a trip to the journal website to check recent publications. On the other hand, it doesn’t entirely answer the question of what kind of research do they typically publish? I guess that’s the question we’re asking, but also one which is very difficult to answer when the common factor is the topic (migration) and not the methodology or something like that. In that sense, three articles can never do justice of the diversity of articles in IMR or JEMS, for example.
If open access is a concern for you, the end of the guide nicely summarizes the open access status. This doesn’t include (how could it possibly?) national agreements with publishers.
If Because impact is probably one of your concerns, there’s a nice summary at the end. I really like it how they avoided impact factors of Scimago rankings, yet still provide you with a general idea of ‘impact’ — and with that ‘prestige’.
What don’t you get?
You don’t get journals that publish a lot on migration but are not focused on migration, like some demography journals. The selection of journals is nicely documented, so no quibbles there! You also don’t get journals without peer review — but that’s definitely a good thing!
You don’t get impact factors (that’s probably a good thing), but you also don’t get information about the peer review — that’s a factor many early career researchers (have to) take into consideration. Luckily, we have SciRev for this. While journals have the relevant information about turn-around time or rejection rates, they tend not to publish them in a systematic way — it’s more like advertising: journals often highlight those aspects they do ‘well’. With SciRev, everyone can review the review process, and there are also short comments that can be quite insightful. There are other such guides, like some wiki pages, but SciRev is the only one I know with a systematic procedure, and speaking of migration journals, the only one that spans different disciplines!
One thing that a generic guide like the PRIO guide will struggle to do is capture the prestige of journals in different circles of researchers. This is linked to the question of what kind of research typically gets published in the journals, and can be quite different to impact factors or Scimago rankings… not that a Q4 journal in Scimago will be considered high prestige by some, though. I guess there’s still value in ‘asking around’ a bit.
I’m very happy to announce the publication of a reader on migration and discrimination by Rosita Fibbi, Arnfinn Midtbøen, and Patrick Simon. The reader comes in at some 100 pages and is completely free and open access at the IMISCOE/Springer website.
Some readers may want to skip the chapter making a case for research on migration and discrimination, but for others will find a well justified and researched overview why this topic is important!
We get an overview of key concepts, key theories, and a discussion of different measurements. All these in a more comprehensive way than what research articles can offer, yet in an accessible way.
In my view, the chapter summarizing discrimination across social domains comes in a bit short. Thinking ahead how this reader can be used in a course, though, I guess this is fine, since most course providers probably want to put a focus on the empirical evidence anyway and will pick more detailed studies of these weeks.
The reader is then completed with sections on the consequences of discrimination — again a part that could have been longer, but again a part where course providers will have their own preferred material to complement the book. The chapter on combatting discrimination is a summary of classic strategies, but does not discuss some more recent ideas how discrimination can be reduced or overcome.
Overall an excellent and nicely put together resource that many will want to use in their courses or just read themselves! Download your copy now…