Towards a precise and reflexive use of migration-related terminology in quantitative research: criticism and suggestions

3Citations
Citations of this article
10Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

To describe migration-related phenomena, we need to reflect on the terminology and choose the most adequate one that allows us to determine whether migration is the (main) cause of a phenomenon, a consequence, or even unrelated and misattributed. We argue that the use of such terminology in quantitative and experimental research is often flawed because of its differentiated adoption in legal, political, or scientific contexts. To illustrate our argument, we focus on two commonly used terms, ‘second generation’ and ‘migration background’ to show that in many situations these terms do not accurately describe the population we study. In part, the terms imply a false homogeneity, focus on deficits, and perpetuate differences regarding national belonging where there may be structural reasons and other aspects, such as social class, that lie at the heart of observed differences. With a particular focus on quantitative research, we use survey evidence and a principled literature search, to show that both researchers and the general population often identify immigrants in terms of ethnic origin — even though the term has its own pitfalls. We conclude that quantitative research should avoid reproducing state-created terminology and instead look beyond the strict field of immigration to consider other systems of classification like gender, ethnicity, language, or social class to reduce the negative attributes ascribed to non-citizens.

Cite

CITATION STYLE

APA

Borrelli, L. M., & Ruedin, D. (2024). Towards a precise and reflexive use of migration-related terminology in quantitative research: criticism and suggestions. Comparative Migration Studies, 12(1). https://doi.org/10.1186/s40878-024-00369-0

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free