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Research Article

The cultural identity of first-generation immigrant children and youth: Insights from a meta-analysis

ORCID Icon, , ORCID Icon, &
Pages 715-740 | Received 08 Nov 2019, Accepted 01 May 2020, Published online: 14 Jun 2020
 

ABSTRACT

In a globalized world with high rates of migration, identification with one’s culture of origin and one’s new cultural environment is a key and sometimes conflicted issue. Focusing on the growing population of first-generation immigrant children and youth, this study reviewed previous literature, using meta-analysis to investigate core factors affecting identity development. A search of databases yielded 3,636 English-language articles published between 1987 and 2017, of which only 24 met all eligibility criteria and were analyzed in depth. Random-effects analysis revealed that young first-generation immigrants identified moderately with their culture of origin and that their identification with the residence country was, by comparison, weaker. Identity was found to be moderated by core demographic and migration-related factors. The implications of the findings and methodological challenges in the field are discussed.

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Supplemental material

Supplemental data for this article can be accessed here.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes

1. The data coded and the coding scheme used will be made available for further analysis in the data archive PsychData.

2. Seven of the included studies contained multiple effect sizes (Birman et al., Citation2005; Costigan et al., Citation2010; Kiang & Fuligni, Citation2009; Kim & Chao, Citation2009; Phuntsog, Citation2012; Sonderegger & Barrett, Citation2004; Walsh et al., Citation2015).

3. The studentized residual is a measure of the size of the residual, standardized by the estimated standard deviation of residuals based on all the data but the ith effect size.

4. Cook’s distance is a measure of the influence of the ith effect size. Influence is the amount that the ith effect size is affecting the regression line, measured by how much the regression line would change if the ith effect size was not included in the analysis.

Additional information

Funding

This work was supported by the Jacobs Foundation [2017 1260 3].

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