Advancing the Knowledge of Spaniards’ Attitudes Towards Immigration

Abstract

This study aims to assist Spanish authorities in enhancing the prevention of negative attitudes towards immigrants by addressing two key questions derived from prior research by the authors: (1) Which variables consistently influence attitudes towards migration over time? (2) What are the distinct attitudinal differences among various groups? Thus, the study delves into the evolution of attitudes towards migration in Spain from 2015 to 2017. It employs a dynamic perspective and advanced machine learning (ML) techniques recognized for their superior predictive capacity in social sciences. It identifies key variables influencing attitudes within diverse groups, including Multicultural and Non-Multicultural, and traces their changes over time. The research addresses the persistence of specific variables tied to subtle biases and distinctions among attitudinal segments. Despite an overall positive trend towards welcoming differences, the study unveils enduring ambivalence, elements of aversive racism, and subtle prejudice, highlighting the intricate factors contributing to the non-acceptance of immigration. Notably, self-perception emerges as a determinant, with optimism and professional attributes correlating with heightened tolerance. In conclusion, the study provides nuanced insights into the multifaceted nature of attitudes towards migration, offering valuable perspectives for more informed policy development.