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

PSC In The News

RSS Feed icon

Almirall says comparing SMART designs will increase treatment quality for children with autism

Thompson says America must "unchoose" policies that have led to mass incarceration

Alter says lack of access to administrative data is "big drag on research"


Knodel honored by Thailand's Chulalongkorn University

Susan Murphy to speak at U-M kickoff for data science initiative, Oct 6, Rackham

Andrew Goodman-Bacon, former trainee, wins 2015 Nevins Prize for best dissertation in economic history

Deirdre Bloome wins ASA award for work on racial inequality and intergenerational transmission

Next Brown Bag

Monday, Oct 19 at noon, 6050 ISR
Rob Stephenson

James Wagner photo

The Fraction of Missing Information as a Tool for Monitoring the Quality of Survey Data

Publication Abstract

Wagner, James. 2010. "The Fraction of Missing Information as a Tool for Monitoring the Quality of Survey Data." Public Opinion Quarterly, 74(2): 223-243.

The response rate has been a longstanding indicator of the quality of survey data. Recent empirical research, however, has called into question the value of the response rate as a proxy indicator for nonresponse bias, which is the most damaging aspect of nonresponse. A new measure for the risk of nonresponse—the fraction of missing information (FMI)—is proposed as an alternative to the response rate. FMI was developed as part of the methods for handling missing data, and it measures the level of uncertainty about the values one would impute for current nonresponders. Developed as a tool for monitoring ongoing data collection, FMI can help researchers maximize the information in the final dataset. This article illustrates its application to telephone and face-to-face surveys.

DOI:10.1093/poq/nfq007 (Full Text)


Country of focus: United States of America.

Browse | Search : All Pubs | Next