Triangulation has long been employed to provide validation for study findings that are easily critiqued because of small sample sizes or lack of generalizability. With a particular focus on using multiple quantitative data sources, we expand the use of triangulation within a sociological context, arguing that not only is sociology a field ripe for the use of combining different datasets, but that it is a useful tool when examining hard-to-reach and disadvantaged populations. Highlighting examples from multiple datasets that are typically employed to explore issues of Hispanic aging in the United States, we discuss how these different sources can be deployed to leverage findings. We conclude by discussing the application of triangulation to make sociological analyses policy accessible and relevant, a necessary pursuit, we argue, to ensure a sociological voice is part of the broader policy discussion.
Triangulation; Mixed methods in sociology; Minorities; Hispanic aging