The MDAC Reference Manual is the key piece of information, or data dictionary, for MDAC analysis file variables. Contents of the manual include; variable definitions, discussion of pertinent issues related to the variables, variable level descriptions and cell frequencies. Electronic versions of this manual include hyperlinks to allow fluid navigation between a variable definition and the index listing of variables. Appendices in the manual include documentation for the MDAC local area characteristics files. Select one of the links below to download a PDF or Microsoft Word version of the Reference Manual.

MDAC Reference Manual V1 (June 2017).pdf

Appendices Included

MDAC Reference Manual V1_6_21_17 [4.9 MB]

MDAC Reference Manual V1 (June 2017).docx

Appendices not included

MDAC Reference Manual V1_6_21_17 [<1.0 MB]

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.

Data Science

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

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.

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.