{"title":"Which individual-level factors explain public attitudes toward immigration? a meta-analysis","authors":"Lenka Dražanová, Jérôme Gonnot, Tobias Heidland, Finja Krüger","doi":"10.1080/1369183x.2023.2265576","DOIUrl":null,"url":null,"abstract":"Public attitudes toward immigration have attracted much scholarly interest and extensive empirical research in recent years. Despite a sizeable theoretical and empirical literature, no firm conclusions have been drawn regarding the factors affecting immigration opinion. We address this gap through a formal meta-analysis derived from the literature regarding immigration attitudes from the top journals of several social science disciplines in the years 2009–2019 and based on a population of 1185 estimates derived from 144 unique analyses on individual-level factors affecting attitudes to immigration. The meta-analytical findings show that two individual-level characteristics are most significantly associated with attitudes to immigration -- education (positively) and age (negatively). Our results further reveal that the same individual characteristics do not necessarily explain immigration policy attitudes and attitudes toward immigrants' contribution. The findings challenge several conventional micro-level theories of attitudes to immigration. The meta-analysis can inform future research when planning the set of explanatory variables to avoid omitting key determinants.","PeriodicalId":48371,"journal":{"name":"Journal of Ethnic and Migration Studies","volume":"21 1","pages":"0"},"PeriodicalIF":2.8000,"publicationDate":"2023-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Ethnic and Migration Studies","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/1369183x.2023.2265576","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"DEMOGRAPHY","Score":null,"Total":0}
引用次数: 0
Abstract
Public attitudes toward immigration have attracted much scholarly interest and extensive empirical research in recent years. Despite a sizeable theoretical and empirical literature, no firm conclusions have been drawn regarding the factors affecting immigration opinion. We address this gap through a formal meta-analysis derived from the literature regarding immigration attitudes from the top journals of several social science disciplines in the years 2009–2019 and based on a population of 1185 estimates derived from 144 unique analyses on individual-level factors affecting attitudes to immigration. The meta-analytical findings show that two individual-level characteristics are most significantly associated with attitudes to immigration -- education (positively) and age (negatively). Our results further reveal that the same individual characteristics do not necessarily explain immigration policy attitudes and attitudes toward immigrants' contribution. The findings challenge several conventional micro-level theories of attitudes to immigration. The meta-analysis can inform future research when planning the set of explanatory variables to avoid omitting key determinants.
期刊介绍:
The Journal of Ethnic and Migration Studies (JEMS) publishes the results of first-class research on all forms of migration and its consequences, together with articles on ethnic conflict, discrimination, racism, nationalism, citizenship and policies of integration. Contributions to the journal, which are all fully refereed, are especially welcome when they are the result of original empirical research that makes a clear contribution to the field of migration JEMS has a long-standing interest in informed policy debate and contributions are welcomed which seek to develop the implications of research for policy innovation, or which evaluate the results of previous initiatives. The journal is also interested in publishing the results of theoretical work.