• Data triangulation consists of combining data from more than one source. For example, a researcher studying a nonprofit multiservice agency may solicit data from a cross section of stakeholders, from board members to service users. The researcher may also collect data at different periods and from different sectors of the organization (e.g., foster care, counseling, adoption, or substance abuse treatment units in the same organization).