Imputed Data in SLAITS Microdata Sets

This page contains links to SLAITS microdata sets that include data that have undergone imputation (with related documentation). Imputation is a statistical technique that attempts to address missing data in sample survey datasets through simulation. Data can be missing for a number of reasons: the respondent either did not know the answer to question(s); chose to skip question(s); refused to answer question(s); or question(s) were erroneously not asked. A high level of missing data limits the ability of analysts to draw conclusions from the survey.

To derive the imputed values, an imputation algorithm or model is developed to predict data for the missing variable(s) by taking the observed values into account. In single imputation modeling, the model is run once to predict the missing datum (data). In multiple imputation, the model is run more than once (typically five times) to predict the missing datum (data) and permit more accurate variance estimation.

The highlighted links below connect to the imputed microdata, a report describing the creation and use of the imputed data, and (in some cases) sample SAS programs.

2001 National Survey of Children with Special Health Care Needs

An indicator variable was developed using single imputation to identify income status below 200% of the Federal poverty level for uninsured children. This variable (POV200_I) is included on the insurance data file (October 2003)

Imputation of Low-Income Status Report
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Data Sets

Detailed income values relative to the Federal poverty level were developed using multiple imputation (June 2007)

Multiple Imputation of Missing Household Poverty Values Report
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Datasets and SAS Programs

2003 National Survey of Children's Health

Detailed income values relative to the Federal poverty level were developed using multiple imputation (June 2007)

Multiple Imputation of Missing Household Poverty Values Methodology Report
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Datasets and SAS Programs

2005 - 2006 National Survey of Children with Special Health Care Needs

Detailed income values relative to the Federal poverty level will be developed using multiple imputation and will be released with the microdata

Multiple Imputation of Missing Household Poverty Values Methodology Report
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Datasets and SAS Programs

This page last reviewed September 09, 2008