This course will cover the steps used in weighting sample surveys, including methods for adjusting for nonresponse and using data external to the survey for calibration. Among the techniques discussed are adjustments using estimated response propensities, poststratification, raking, and general regression estimation. Alternative techniques for imputing values for missing items will be discussed. For both weighting and imputation, the capabilities of different statistical software packages will be covered, including R®, Stata®, and SAS®.
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Del curso dictado por University of Maryland, College Park
Dealing With Missing Data
University of Maryland, College Park
Curso 5 de 7 en SpecializationSurvey Data Collection and Analytics
De la lección
Summary of Course 5
We briefly summarize the methods of weighting and imputation that were covered in Course 5.
Conoce a los instructores
Richard Valliant, Ph.D.Research Professor
Joint Program in Survey Methodology
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