Country Comparison and Multi-Level Analysis in Qualitative Research – Methodological Problems and Practical Solutions

Arnd-Michael Nohl ()
Additional contact information
Arnd-Michael Nohl: Helmut-Schmidt-University

Child Indicators Research, 2019, vol. 12, issue 2, No 3, 409-423

Abstract: Abstract Similar to other disciplines and fields, qualitative inquiry into children’s well-being lacks research experience when it comes to multi-level analysis and country comparisons. This paper draws on trans-disciplinary discussions in the field of migration research that provide insights into the opportunities, pitfalls, and strategies of comparing qualitative data gathered in different countries and referring to various levels of society. The main focus is on a project that used the Documentary Method to analyze approximately 200 narrative interviews by sampling them in typologically situated case groups. Finally, I discuss the significance of this research experience for the inquiry into children’s well-being and draw some general conclusions.

Keywords: Country comparison; Multi-level analysis; Documentary method; Migration; Childhood research; Narrative interview (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s12187-017-9497-0 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:chinre:v:12:y:2019:i:2:d:10.1007_s12187-017-9497-0

Ordering information: This journal article can be ordered from
http://www.springer. ... f-life/journal/12187

DOI: 10.1007/s12187-017-9497-0

Access Statistics for this article

Child Indicators Research is currently edited by Asher Ben-Arieh

More articles in Child Indicators Research from Springer, The International Society of Child Indicators (ISCI)
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().