• Research to improve the modeling of response as well as to improve methods to determine whether data are missing at random.

• Research on the use of auxiliary data for weighting adjustments, including whether weighting can make estimates worse (i.e., increase bias) and whether traditional weighting approaches inflate the variance of the estimates.

• Research to assist in understanding the impacts of adjustment procedures on estimates other than means, proportions, and totals.

• Research on how to best make a switch from the telephone survey mode (and frame) to mail, including how to ensure that the right person completes a mail survey.

• Research on the theory and practice of responsive design, including its effects on nonresponse bias, information requirements for its implementation, types of surveys for which it is most appropriate, and variance implications.

• Research on the availability, quality, and application of administrative records to augment (or replace) survey data collections.

• Research to determine the capability of information gathered by mining the Internet to augment (or replace) official survey statistics.

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