PLACE: 1213 Coover
SPEAKER: Cristiano Ferraz, Department of Statistics and Statistical Laboratory, Iowa State University
TITLE: Sample design for quality monitoring and measurement error
evaluation of large scale longitudinal surveys
ABSTRACT
We discuss the design of samples to monitor the quality of the data being
collected (data quality monitoring) and to evaluate properties of
measurement errors for the survey (measurement error evaluation) in the
context of large-scale longitudinal surveys. Longitudinal surveys provide
historical information that allows for more complex sample designs than the
simple ad hoc approaches used in one-time surveys. The properties and
feasibility of several classes of probability sample designs for data
quality monitoring will be investigated. The problem of assessing the
properties of measurement error will be addressed with emphasis on
designing a subsample to estimate the measurement error contribution to the
variance of a sample estimator. The investigation is motivated by
potential applications to the United States Department of Agriculture's
National Resources Inventory.
COFFEE: 10:45 a.m., 104 Snedecor Hall