ICF applies statistical rigor to analyzing survey data to accurately answer research questions by communicating data and results using interactive and innovative reporting methods.
With more than 200 statisticians and analysts on staff, ICF analyzes survey data using the most appropriate statistical techniques based on client needs, without favoritism or bias toward a specific tool. Many of our surveys have complex survey designs that include stratification and multistage sampling.
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.
Following data collection and analysis, ICF creates customized platforms and portals that allow clients to interact with data and reports in a secure environment. Reports are professional, grounded, and defensible—reflecting a level of quality appropriate for corporate and government executives.
ICF reports for the Internal Revenue Service (IRS), the U.S. Department of Housing and Urban Development (HUD), and the National Oceanic and Atmospheric Administration (NOAA) are submitted routinely to Congress. In addition to standard reporting, ICF continually develops high-end, innovative capabilities—GIS mapping, data visualization, and harmonization—to offer clients actionable insights to make data-driven and informed decisions.
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.