The Interview in Migration Studies: A Step towards a Dialogue and Knowledge Co-production?

Olena Fedyuk*, Violetta Zentai

*Corresponding author for this work

Research output: Contribution to Book/Report typesChapterpeer-review

Abstract (may include machine translation)

The interview in its various forms, applications and methods of analysing data remains a central tool in qualitative research. For migration studies, this method has proved indispensable, especially when researching vulnerable groups of people on the move, and collecting data about various aspects of irregularity, grey economic activities, and the autonomy and agency of mobile people. The interview is, however, being increasingly used in policy research, elite research, and to obtain expert opinion in various forms of qualitative research. Interviews are also essential to scholarly endeavours that pursue collaborative knowledge production and participant research. As a method, various forms of interview allow for the unveiling of knowledge which otherwise remains under the radar of formal surveys and other more standardized data collection forms. Additionally, forms such as biographical and life story interviews, or unstructured interviews, generate space for the respondent to actively direct the research inquiry, and for the researcher to map out areas not originally foreseen. Among the most contested aspects of the interview remains its interpretation through processing and presenting the data collected this way. Our chapter will therefore examine examples of exploring ways to present rich data collected through interviews, and discuss its potential for European migration studies.

Original languageEnglish
Title of host publicationQualitative Research in European Migration Studies
EditorsRicard Zapata-Barrero, Evren Yalaz
PublisherSpringer Science and Business Media B.V.
Pages171-188
Number of pages18
ISBN (Electronic)9783319768618
ISBN (Print)9783319768601, 9783030083113
DOIs
StatePublished - 20 Jun 2018

Publication series

NameIMISCOE Research Series
ISSN (Print)2364-4087
ISSN (Electronic)2364-4095

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