Analyze & Subset--Study No. 4379
Title: Child Care and Development Fund Administrative Data, Federal Fiscal Year 2001
Online Analysis Using SDA
The online analysis system allows you to run both simple and complex analyses, recode and compute new variables, and subset variables or cases for downloading. The software powering the system, named Survey Documentation and Analysis (SDA), was developed by the Computer-assisted Survey Methods Program (CSM) at the University of California, Berkeley.
Click on the link(s) below to begin using SDA.
Please note that weights may affect analysis results.
To obtain representative national statistics, weighted statistics must be generated using the number of families and children served as the weighting factor. Where applicable, sampling weight adjustments have been included in the files. Children from the same state get the same weight and results reflect the entire sample size of the US and territories. There are two weight variables available for analysis: A_FCHWT and U_FCHWT. A description of these weights is provided below:
- A_FCHWT: Annual Adjusted Weight for Families/Children Served. This sampling weight adjustment accounts for the pooling factor and weights the data by the number of families and children served by CCDF in each state/national.
- U_FCHWT: Annual Unadjusted Weight for Families/Children Served. This sampling weight adjustment does not account for the pooling factor and weights the data by the number of families and children served from all reported funding sources in each state/national.
Separate child and family online data files have been produced for each of the two weights described above. Users of these data are strongly encouraged to read through the accompanying technical documentation file for further discussion of methods by which to obtain weighted statistics and for guidance with the use of these methods for proper analysis of these data.
If you're having trouble with SDA utilities, you may wish to consult the online help files for SDA users provided by the Computer-assisted Survey Methods Program (CSM) at the University of California, Berkeley.