Home > Publications . Search All . Browse All . Country . Browse PSC Pubs . PSC Report Series

PSC In The News

RSS Feed icon

Hindustan Times points out high value of H-1B visas for US innovation, welfare, and tech firm profits

Novak, Geronimus, Martinez-Cardoso: Threat of deportation harmful to immigrants' health

Students from two worlds learn from one another in Morenoff's Inside-Out class

More News


Heather Ann Thompson wins Pulitzer Prize for book on Attica uprising

Lam explores dimensions of the projected 4 billion increase in world population before 2100

ISR's Nick Prieur wins UMOR award for exceptional contribution to U-M's research mission

How effectively can these nations handle outside investments in health R&D?

More Highlights

Next Brown Bag

Mon, April 10, 2017, noon:
Elizabeth Bruch

A new stopping rule for surveys

Publication Abstract

Wagner, J., and Trivellore Raghunathan. 2010. "A new stopping rule for surveys." Statistics in Medicine, 29(9): 1014-1024.

Non-response is a problem for most surveys. In the sample design, non-response is often dealt with by setting a target response rate and inflating the sample size so that the desired number of interviews is reached. The decision to stop data collection is based largely on meeting the target response rate. A recent article by Rao, Glickman, and Glynn (RGG) suggests rules for stopping that are based on the survey data collected for the current set of respondents. Two of their rules compare estimates from fully imputed data where the imputations are based on a subset of early responders to fully imputed data where the imputations are based on the combined set of early and late responders. If these two estimates are different, then late responders are changing the estimate of interest. The present article develops a new rule for when to stop collecting data in a sample survey. The rule attempts to use complete interview data as well as covariates available on non-responders to determine when the probability that collecting additional data will change the survey estimate is sufficiently low to justify stopping data collection. The rule is compared with that of RGG using simulations and then is implemented using data from a real survey. Copyright (C) 2010 John Wiley & Sons, Ltd.

DOI:10.1002/sim.3834 (Full Text)

Browse | Search : All Pubs | Next