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Workshops on EndNote, NIH reporting, and publication altmetrics, Jan 26 through Feb 7, ISR

2017 PAA Annual Meeting, April 27-29, Chicago

NIH funding opportunity: Etiology of Health Disparities and Health Advantages among Immigrant Populations (R01 and R21), open Jan 2017

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Mon, Jan 23, 2017 at noon:
Decline of cash assistance and child well-being, Luke Shaefer

Use of Interviewer Judgments about Attributes of Selected Respondents in Post-Survey Adjustments for Unit Nonresponse: An Illustration with the National Survey of Family Growth

Publication Abstract

Groves, Robert M., James Wagner, and Emilia Peytcheva. 2007. "Use of Interviewer Judgments about Attributes of Selected Respondents in Post-Survey Adjustments for Unit Nonresponse: An Illustration with the National Survey of Family Growth." Joint Statistical Meetings Proceedings, Survey Research Methods,

Postsurvey adjustments based on propensity models are increasingly popular in survey sampling. After examining the how weighting classes based on discretized estimated propensities can act to reduce the mean square error of respondent-based estimates, it is straightforward to focus on the covariance of the estimated propensity, p, and the survey variables, y's. When propensities are related to the y variables, then adjustments are likely to alter the expected value of the adjusted estimates. Because of this fact, it is desirable to examine ways to collect on both respondents and nonrespondents information predictive of the y variables. We refer to these variables as z variables. This paper reports on one initial attempt to do so, in the context of the National Survey of Family Growth. It reviews the paradata structure of the National Survey of Family Growth and presents initial efforts to model such paradata in a useful way for postsurvey adjustment.

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