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Multidimensional measure of immigrant integration.

Niklas Harder1, Lucila Figueroa1, Rachel M Gillum1

  • 1Immigration Policy Lab, Stanford University, Stanford, CA 94305.

Proceedings of the National Academy of Sciences of the United States of America
|October 24, 2018
PubMed
Summary
This summary is machine-generated.

A new Immigration Policy Lab (IPL) Integration Index offers a common measure for immigrant integration across societies. This tool aids researchers in comparing integration levels across diverse groups and time.

Keywords:
immigrationintegrationmeasurementrefugees

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Area of Science:

  • Sociology
  • Political Science
  • Economics

Background:

  • Immigrant integration is a critical policy issue.
  • Lack of a common integration measure hinders scientific progress.
  • Existing measures lack comparability across studies and populations.

Purpose of the Study:

  • To introduce a standardized, multidimensional measure of immigrant integration.
  • To facilitate cross-study, cross-country, and longitudinal comparisons.
  • To address the need for a common metric in integration research.

Main Methods:

  • Development of the Immigration Policy Lab (IPL) Integration Index.
  • Creation of short (IPL-12) and long (IPL-24) forms.
  • Validation through four empirical surveys.

Main Results:

  • The IPL Integration Index effectively distinguishes between immigrant groups with varying integration levels.
  • The index demonstrates correlation with known predictors of integration.
  • The measure is applicable across diverse contexts and immigrant populations.

Conclusions:

  • The IPL Integration Index provides a pragmatic and multidimensional solution for measuring immigrant integration.
  • This standardized tool will advance cumulative knowledge in the field of immigration studies.
  • The index's flexibility supports its use in diverse research designs and policy evaluations.