Value-driven attitude surveys: Lessons from the refugee crisis in Greece

Abstract

Community reaction to refugees and asylum-seekers is often gauged by attitude surveys that are not designed to overcome built-in bias. Questionnaires that do not account for context and background consequently yield results that misrepresent community attitudes and offer predictably negative responses to immigrant groups. Such surveys can alter public perception, fuel anti-refugee sentiment, and affect policy simply because of how they are constructed. This model survey among humanitarian aid-workers from nine Greek non-governmental organizations uses specific techniques designed to overcome these challenges by applying sample familiarity, non-inflammatory hypothesis-testing, educational question stems, intentional ordering of questions, and direct questioning rather than surrogate measures like statistical approximation. Respondents working in the refugee crisis in Greece demonstrate how empathy, education, and exposure to refugees serve to overcome the harmful stereotypes of outsiders as contributors to crime, terror, and social burden.