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Explore discrimination and risks faced by ethnic minorities and women with a focus on measurement methodologies and data analysis results. The presentation delves into research questions on multiple discrimination and explores the European Social Survey as a valuable tool for statistical analysis. Discuss implications of self-assessment and perceived discrimination in various demographic groups, offering insights into underlying biases and validity concerns in data collection methods.
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ETHNIC MINORITIES, GENDER AND DISCRIMINATION IN ESS(shorter version) Ko Oudhof Statistics Netherlands UNECE Work Session on Gender Statistics 11-13 september 2006 Geneva
THEMES IN PRESENTATION • Discrimination • Risk population • Measurement and data • Results • Final questions UNECE Work Session on Gender Statistics 11-13 september 2006 Geneva
Discrimination and risk populations • Discrimination defined shortly: • Treatment or affect based on class or category rather than individual merit • Reasonable exceptions? Law-forbidden grounds? • Risk population derived from grounds • Racial or ethnic minorities • Women • Multiple discrimination • Ethnic minorities women • Research question: • More discrimination than other women? • More discrimination than ethnic minorities men? UNECE Work Session on Gender Statistics 11-13 september 2006 Geneva
ESS • European Social Survey • Two-yearly survey 2002/3 + 2004/5 +…. • Freely available (non-commercial) • Standardisation and comparability • Translation procedures • Random sample 15+ years • Only in major (>5%) languages in country !!! • 26 countries all together • Pooled and reweighted data (OK??) UNECE Work Session on Gender Statistics 11-13 september 2006 Geneva
Measurement risk populations • Citizenship • Are you a citizen of [country]? • (Non-) western background • Were you born in [country]? • Was your father born in [country]? • Was your mother born in [country]? • Belongingness minority ethnic group • Do you belong to a minority ethnic group in [country]? (“Belong” refers to attachment or identification) Yes/No/Don’t know UNECE Work Session on Gender Statistics 11-13 september 2006 Geneva
Measurement risk populations (2) • Unique crossing of criteria risk population • One example (in spite of language bias) • Share of ethnic minorities among foreign background (western/non-western) • Target population of EU-LFS 2008 • Ethnic minority group among non-western migrants + descendants = 1,2% • Ethnic minority group among native background = 1,5% UNECE Work Session on Gender Statistics 11-13 september 2006 Geneva
Measurement discrimination • Would you describe yourself as being a member of a group that is discriminated against in this country? If yes…...>>>>>>>>> • On what grounds is your group discriminated against? PROBE: ‘What other grounds?’ CODE ALL THAT APPLY • Colour or race • Nationality • Religion • Language • Ethnic group • Age • Gender • Sexuality • Disability • Other (WRITE IN)___________________________ • (Don’t know) UNECE Work Session on Gender Statistics 11-13 september 2006 Geneva
Discussion • Systematic bias in ethnic groups in ESS-data because of language-related selectivity? • Validity of discrimination measure? • Self assessment as member of D • Perceived discrimination of D • Information source of perceived discrimination (significant others or media)? • ESS offers much more http://www.europeansocialsurvey.org/ UNECE Work Session on Gender Statistics 11-13 september 2006 Geneva