Social Work Research on Immigrants: A Content Analysis of Leading Journals from 2007 to 2016

International migration has emerged as one of the most controversial phenomena of the 21st century. The complexity and implications of global migrations require that social work practitioners and researchers have access to data-informed research and critical analyses. However, the content of recent social work research on international migration has not been adequately examined to assess whether and to what extent this substantive area is being addressed. This article explores how social work research published in five leading social work journals-Health & Social Work, Research on Social Work Practice, Social Service Review, Social Work, and Social Work Research-is advancing our understanding of international migration and where it may be lacking. Focusing on articles published between 2007 and 2016, the authors analyzed content addressing immigrants and refugees. The content analysis indicates that social work research is making a strong contribution in the area of mental health but is not adequately addressing critical dimensions of stratification, including race, ethnicity, and legal status. Authors also find ambiguity in how immigrant is defined and in the generation(s) addressed. Authors argue that maximizing social work's contributions requires offering more nuanced definitions of the immigrant populations addressed and paying greater analytical attention to dimensions of inequality.

Automated summary

This article examines how social work research in leading journals contributes to our understanding of international migration, focusing on the period between 2007 and 2016. The analysis reveals a strong emphasis on mental health but insufficient attention to critical dimensions of stratification like race, ethnicity, and legal status, as well as ambiguity in defining immigrants and the generations addressed. The authors argue that social work research could benefit from offering more nuanced definitions of immigrant populations and paying greater analytical attention to dimensions of inequality.