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Surveying immigrants without sampling frames - evaluating the success of alternative field methods
David Reichel1, Laura Morales2
1European Union Agency for Fundamental Rights, Vienna, Austria.
This study assessed sampling methods for surveying immigrants from outside the European Union (EU) in EU cities. Alternative methods like location sampling can yield meaningful demographic data, though census comparisons show some variations.
Area of Science:
- Social Sciences
- Demography
- Survey Methodology
Background:
- International surveys face challenges when sampling specific populations like non-EU immigrants.
- Lack of a pre-existing sample frame for non-EU immigrants necessitates innovative survey approaches.
- The Immigrant Citizens Survey (ICS) targeted non-EU immigrants across 15 cities in seven EU countries.
Purpose of the Study:
- To evaluate the effectiveness of different sampling methods used in the Immigrant Citizens Survey.
- To identify methodological challenges in surveying immigrant populations without a sample frame.
- To compare the accuracy of alternative sampling techniques against official statistics.
Main Methods:
- Utilized 'location sampling' in three countries where no traditional sample frame was available.
- Employed adapted traditional sampling methods in two countries for hard-to-reach immigrant populations.
- Compared survey sample data with official census statistics for accuracy assessment.
Main Results:
- Alternative sampling methods, including location sampling, successfully produced meaningful results for core demographic characteristics.
- While generally accurate, some estimates derived from alternative sampling methods showed minor deviations from census data.
- Methodological challenges in surveying immigrant groups without sample frames were identified and assessed.
Conclusions:
- Innovative sampling strategies are viable for surveying immigrant populations lacking traditional sample frames.
- Location sampling and adapted traditional methods can provide valuable demographic insights.
- Further research may refine these methods to minimize discrepancies with census data.
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