Survey of Turkish Immigrants in Germany on Discrimination and Religious Identity

An original survey of 1456 Turkish immigrants in Germany, conducted by Osman Suntay and hosted by Harvard Dataverse. The data combines a survey experiment and an observational study to examine how perceived discrimination affects in-group religious identification, with a focus on heterogeneity based on educational level. The dataset was last updated in May 2026.

Use Cases

• Analyzing the relationship between perceived discrimination and religious in-group identification based on survey responses.
• Investigating heterogeneity in identity responses based on educational level as described in the study.
• Comparing causal effects from a priming experiment with observational associations as outlined in the research.
• Testing social identity theory in the context of Muslim immigrants in Western Europe.

Strengths

• Dataset is based on a substantial sample of 1456 survey respondents.
• Research design combines both experimental (priming) and observational methods.
• Focus on a specific and well-defined population: Turkish immigrants in Germany.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic and population bias inherent to the single-country, single-origin group study.

Provenance

Source

Harvard Dataverse, author Osman Suntay.

Collection Method

Original survey combining a priming experiment and observational study.

Time Range

null

Freshness

Last updated 2026-05-04 23:03:25; freshness should be verified.

Geography

Germany, focusing on Turkish immigrants.