ICF applies statistical rigor to transform raw data into accurate, defensible answers to our clients’ research questions
With more than 200 statisticians and analysts on staff, ICF can analyze survey data using the most appropriate statistical techniques for each client’s needs, without favoritism or bias toward a specific tool.
ICF analysts have experience with all industry-standard statistical software as well as boutique packages. Our statistical methods include but are not limited to segmentation, structural equation modeling, factor analysis, and cluster analysis. In addition, ICF experts use the Total Survey Error (TSE) model to design and analyze survey data, addressing coverage error through good sampling frame development, nonresponse bias using nonresponse adjustment procedures, and measurement error by developing questionnaires using tested questionnaire design principles.
ICF is internationally recognized for work on the U.S. Agency for International Development (USAID)-funded Demographic and Health Survey (DHS) Program. We conduct nationally representative studies in developing countries, which are then presented through reports, a user-driven interactive portal, and geographic information systems (GIS) maps.