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多维移民融合衡量指标。

Multidimensional measure of immigrant integration.

机构信息

Immigration Policy Lab, Stanford University, Stanford, CA 94305.

Immigration Policy Lab, ETH Zurich, 8050 Zurich, Switzerland.

出版信息

Proc Natl Acad Sci U S A. 2018 Nov 6;115(45):11483-11488. doi: 10.1073/pnas.1808793115. Epub 2018 Oct 22.

Abstract

The successful integration of immigrants into a host country's society, economy, and polity has become a major issue for policymakers in recent decades. Scientific progress in the study of immigrant integration has been hampered by the lack of a common measure of integration, which would allow for the accumulation of knowledge through comparison across studies, countries, and time. To address this fundamental problem, we propose the Immigration Policy Lab (IPL) Integration Index as a pragmatic and multidimensional measure of immigrant integration. The measure, both in the 12-item short form (IPL-12) and the 24-item long form (IPL-24), captures six dimensions of integration: psychological, economic, political, social, linguistic, and navigational. The measure can be used across countries, over time, and across different immigrant groups and can be administered through short questionnaires available in different modes. We report on four surveys we conducted to evaluate the empirical performance of our measure. The tests reveal that the measure distinguishes among immigrant groups with different expected levels of integration and also correlates with well-established predictors of integration.

摘要

近几十年来,成功地将移民融入东道国的社会、经济和政治已经成为政策制定者的主要问题。由于缺乏衡量移民融合的共同标准,使得通过比较研究、国家和时间来积累知识受到阻碍,从而阻碍了移民融合研究的科学进展。为了解决这个根本问题,我们提出了移民政策实验室(IPL)融合指数,作为衡量移民融合的实用和多维指标。该指标在 12 项短式(IPL-12)和 24 项长式(IPL-24)中都包含六个融合维度:心理、经济、政治、社会、语言和导航。该指标可以在不同国家、不同时间以及不同移民群体中使用,并且可以通过不同模式提供的简短问卷进行管理。我们报告了我们进行的四项调查,以评估我们的衡量标准的经验表现。这些测试表明,该衡量标准可以区分预期融合水平不同的移民群体,并且与既定的融合预测因素相关。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c2c/6233107/299052312e0b/pnas.1808793115fig01.jpg

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