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

PSC In The News

RSS Feed icon

Smock says cohabitation does not reduce odds of marriage

Smock cited in story on how low marriage rates may exacerbate marriage-status economic inequality

Frey says low turnover in House members related to lack of voter turnout among moderates


Susan Murphy named Distinguished University Professor

Sarah Burgard and former PSC trainee Jennifer Ailshire win ASA award for paper

James Jackson to be appointed to NSF's National Science Board

ISR's program in Society, Population, and Environment (SPE) focuses on social change and social issues worldwide.

Next Brown Bag

PSC Brown Bags will return in the fall

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