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Intervening in cultural development: The case of ethnic–racial identity

Published online by Cambridge University Press:  24 August 2018

Adriana J. Umaña-Taylor*
Affiliation:
Harvard University and Universidad de San Buenaventura, Medellín
*
Address correspondence and reprint requests to: Adriana J. Umaña-Taylor, Harvard Graduate School of Education, 14 Appian Way, Cambridge, MA 02138; E-mail: Adriana_umana-taylor@gse.harvard.edu.
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Abstract

The literature on developmental psychopathology has been criticized for its limited integration of culture and, particularly, the lack of research addressing cultural development in relation to psychopathology. In this paper, I present how the study of ethnic–racial identity provides a heuristic model for how culture can be examined developmentally and in relation to psychopathology. In addition, I introduce the Identity Project intervention program and discuss how its findings provide empirical support for the notions that cultural development can be modified with intervention, and that such modifications can lead to psychosocial benefits for adolescents. Finally, I discuss existing challenges to advancing this work and important future directions for both basic and translational research in this area.

Information

Type
Special Issue Articles
Copyright
Copyright © Cambridge University Press 2018 
Figure 0

Figure 1. Theory of intervention guiding the Identity Project Intervention Program. Reprinted with permission from Umaña-Taylor and Douglass (2016).

Figure 1

Figure 2. Alternate model testing the indirect effect of the Identity Project Intervention via Time 2 exploration, Time 3 resolution, and Time 4 global identity cohesion to Time 4 psychosocial adjustment. Direct effect of condition on each dependent variable was estimated. E-R Majority status (0 = ethnic–racial minority, 1 = White) and gender (1 = male, 0 = female) are included as controls. Standardized estimates are presented. Bolded black lines indicate significant indirect effects (p < .05); dashed black lines indicate trend level of indirect effects (p < .10); gray lines indicate control variables. Originally presented in Umaña-Taylor, Kornienko, et al. (2018). ***p < .001, **p < .01, *p < .05, †p = .05 (all two-tailed).