Adaptive survey design is data-driven tailoring of surveys in order to increase the quality of our data, increase efficiencies, and reduce costs. The data used to tailor a survey can include information we already have about the survey, such as response rates on earlier surveys, or real-time information about the performance of the survey in the field as it is conducted. An example of adaptive survey design would be changing the way we contact a respondent during a survey if our contact attempts are not successful. CODS works with Census Bureau survey directors and staff to research adaptive survey design techniques and provide survey staff with different data collection strategies to increase our data quality and reduce costs.

Other Subtopics Within 'Research'

Administrative Records

View information on Administrative Records for Research at the U.S. Census Bureau.

Behavioral Science Methods

The Center for Survey Measurement (CSM) conducts research on questionnaire design and evaluation.

Big Data

Learn how the U.S. Census Bureau is using new types of data and analysis to improve and strengthen our statistics.

Disclosure Avoidance

Learn more about areas of statistical disclosure control, confidentiality, and disclosure limitation.

Federal Statistical Research Data Centers

The Federal Statistical System Research Data Centers are partnerships between federal statistical agencies and leading research institutions.

General Economic Research

View information on General Economic Research at the U.S. Census Bureau.

Mortality Disparities in American Communities (MDAC)

Research database on 2008 American Community Survey respondents and a follow-up of mortality outcomes through 2015.

Paradata

View information on Paradata for Research at the U.S. Census Bureau.

Statistical Research

CSRM conducts research on statistical design, modeling, and analysis methods for the Census Bureau's data collection, analysis, and dissemination programs.

Time Series and Seasonal Adjustment

Seasonal adjustment is the estimation of the seasonal component, followed by their removal from the time series.